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ORCIDIJCNN 2009: Atlanta, Georgia, USA
- International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, Georgia, USA, 14-19 June 2009. IEEE Computer Society 2009, ISBN 978-1-4244-3548-7
- Mohammad Abdollahi, Ehsan Valavi, Hossein Ahmadi Noubari:
Voice-based gender identification via multiresolution frame classification of spectro-temporal maps. 1-4 - Azizi Abdullah, Remco C. Veltkamp, Marco A. Wiering:
Spatial pyramids and two-layer stacking SVM classifiers for image categorization: A comparative study. 5-12 - Rahib Hidayat Abiyev, Okyay Kaynak
:
Identification and control of time-varying plants using type-2 fuzzy neural system. 13-19 - Alberto Acerbi, Davide Marocco:
Orienting learning by exploiting sociality: An evolutionary robotics simulation. 20-27 - Brahim Achili, Boubaker Daachi, Arab Ali Chérif, Yacine Amirat:
Combined multi-layer perceptron neural network and sliding mode technique for parallel robots control : An adaptive approach. 28-35 - Tsvi Achler, Dervis C. Vural, Eyal Amir:
Counting objects with biologically inspired regulatory-feedback networks. 36-40 - Tsvi Achler:
Using non-oscillatory dynamics to disambiguate simultaneous patterns. 41-48 - Mathias M. Adankon, Mohamed Cheriet:
Help-training semi-supervised LS-SVM. 49-56 - Paulo J. L. Adeodato, Adrian L. Arnaud, Germano C. Vasconcelos, Rodrigo C. L. V. Cunha, Tarcísio B. Gurgel, Domingos S. M. P. Monteiro:
The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge. 57-62 - Peyman Adibi, Reza Safabakhsh:
Batch linear manifold topographic map with regional dimensionality estimation. 63-70 - Mohamad Javad Aein, Heidar A. Talebi:
Introducing a training methodology for cellular neural networks solving partial differential equations. 71-75 - Alma Y. Alanis, Luis J. Ricalde, Edgar N. Sánchez:
High Order Neural Networks for wind speed time series prediction. 76-80 - Azadeh Alavi, Brenton Cavanagh, Gervase Tuxworth, Adrian Meedeniya, Alan Mackay-Sim, Michael Blumenstein:
Automated classification of dopaminergic neurons in the rodent brain. 81-88 - Luís A. Alexandre, Mark J. Embrechts, Jonathan D. Linton:
Benchmarking reservoir computing on time-independent classification tasks. 89-93 - Jose Lima Alexandrino, Cleber Zanchettin, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent immune system using Radial Basis Function applied to Time Series Analysis. 94-101 - Jose Lima Alexandrino, George D. C. Cavalcanti, Edson Costa de Barros Carvalho Filho:
Hybrid intelligent system clonart applied to face recognition. 102-107 - Muhamed Syed Ali, Pagavathigounder Balasubramaniam:
Stability analysis of Takagi-Sugeno fuzzy Hopfield neural networks with discrete and distributed time varying delays. 108-113 - Cesare Alippi, Giacomo Boracchi, Manuel Roveri:
Just in time classifiers: Managing the slow drift case. 114-120 - Ahmed M. Allam, Hazem M. Abbas:
Improved security of neural cryptography using don't-trust-my-partner and error prediction. 121-127 - Hasan Al-Marzouqi:
Data Clustering Using a Modified Kuwahara Filter. 128-132 - Victor Medeiros Outtes Alves, George D. C. Cavalcanti:
Tree Architecture Pattern Distributor: a task decomposition classification approach. 133-140 - Carlos Alzate, Johan A. K. Suykens:
A regularized formulation for spectral clustering with pairwise constraints. 141-148 - Manoel C. Amorim Neto, George D. C. Cavalcanti, Ing Ren Tsang:
Financial time series prediction using exogenous series and combined neural networks. 149-156 - Razvan Andonie, Levente Fabry-Asztalos, Bogdan Crivat, Sarah Abdul-Wahid, Badi Abdul-Wahid:
Fuzzy ARTMAP rule extraction in computational chemistry. 157-163 - Kofi Appiah, Andrew Hunter, Hongying Meng, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A binary Self-Organizing Map and its FPGA implementation. 164-171 - Ronaldo Ribeiro Barbosa de Aquino, Milde M. S. Lira, Josinaldo B. de Oliveira, Manoel A. Carvalho, Otoni Nóbrega Neto, Givanildo J. de Almeida:
Application of wavelet and neural network models for wind speed and power generation forecasting in a Brazilian experimental wind park. 172-178 - Ronaldo Ribeiro Barbosa de Aquino, Jose M. B. Bezerra, Milde M. S. Lira, Gabriela S. M. Santos, Otoni Nóbrega Neto, Carlos Alberto B. de O. Lira:
Combining Artificial Neural Network for diagnosing polluted insulators. 179-183 - Michael A. Arbib:
From Mirror Neurons to Computational Neurolinguistics. 184-190 - Paolo Arena, Sebastiano De Fiore, Davide Lombardo, Luca Patané:
Emergence of perceptual states in nonlinear lattices: A new computational model for perception. 191-198 - Javad Arif, Nilanjan Ray Chaudhuri, Swakshar Ray, Balarko Chaudhuri:
Online Levenberg-Marquardt algorithm for neural network based estimation and control of power systems. 199-206 - Sameer Ather, Leif E. Peterson, Vijay Divakaran, Anita Deswal, Biykem Bozkurt, Douglas L. Mann:
Unsupervised cluster analysis and mortality risk in the Digitalis Investigation Group (DIG) trial of heart failure. 207-212 - Davide Bacciu, Ian H. Jarman, Terence A. Etchells, Paulo J. G. Lisboa:
Patient stratification with competing risks by multivariate Fisher distance. 213-220 - Seung-Mook Baek, Jung-Wook Park:
Nonlinear controller optimization of a power system based on reduced multivariate polynomial model. 221-228 - Hassan Bagher-Ebadian, Kourosh Jafari-Khouzani, Panayiotis D. Mitsias, Hamid Soltanian-Zadeh, Michael Chopp, James R. Ewing:
Predicting final extent of ischemic infarction using an artificial neural network analysis of multiparametric MRI in patients with stroke. 229-235 - Hassan Bagher-Ebadian, Ramesh Paudyal, Tom Mikkelsen, Quan Jiang, James R. Ewing:
Rapid and direct quantification of longitudinal relaxation time (T1) in look-locker sequences using an adaptive neural network. 236-240 - Xuerui Bai, Dongbin Zhao, Jianqiang Yi:
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming. 241-248 - Kevin Bailly, Maurice Milgram:
BISAR: Boosted input selection algorithm for regression. 249-255 - Tao Ban, Youki Kadobayashi, Shigeo Abe:
Sparse kernel feature analysis using FastMap and its variants. 256-263 - Alan J. Barton, Julio J. Valdés, Robert Orchard:
Learning the neuron functions within a neural network via Genetic Programming: Applications to geophysics and hydrogeology. 264-271 - Hamidreza Bayati, Shahabeddin Vahdat, Bijan Vosoughi Vahdat:
Investigating the properties of optimal sensory and motor synergies in a nonlinear model of arm dynamics. 272-279 - Derek Beaton, Iren Valova, Daniel MacLean:
Growing mechanisms and cluster identification with TurSOM. 280-287 - Derek Beaton, Iren Valova, Daniel MacLean:
TurSOM: A Turing inspired Self-Organizing Map. 288-295 - Timothy Bender, V. Scott Gordon, Michael Daniels:
Partitioning strategies for modular neural networks. 296-301 - Simon Bernard, Laurent Heutte, Sébastien Adam:
On the selection of decision trees in Random Forests. 302-307 - Abdul Aziz Bhatti:
A minimum interconnection direct storage model of a neural bidirectional memory. 308-315 - Abdul Aziz Bhatti:
A model of an intraconnected neural parallel bidirectional memory. 316-323 - Abdul Aziz Bhatti:
Comparison of an efficient direct storage BAM model with traditional neural bidirectional memories. 324-331 - Ida Bifulco, Carmine Fedullo, Francesco Napolitano, Giancarlo Raiconi, Roberto Tagliaferri:
Global optimization, Meta Clustering and consensus clustering for class prediction. 332-339 - Elia Biganzoli, Federico Ambrogi, Patrizia Boracchi:
Partial logistic artificial neural networks (PLANN) for flexible modeling of censored survival data. 340-346 - Sodia Blad, David Larsson, Nick Outram, Karl G. Rosen:
Assessment of fetal reactivity biopatterns during labour by fetal ECG analysis. 347-352 - Alan Blair, Guanzhong Li:
Training of recurrent Internal Symmetry Networks by backpropagation. 353-358 - Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos:
A combination of discretization and filter methods for improving classification performance in KDD Cup 99 dataset. 359-366 - Roman Borisyuk, David Chik, Yakov B. Kazanovich:
Partial synchronization of neural activity and information processing. 367-374 - Alexander Borzenko:
Neuron mechanism of human languages. 375-382 - Fabricio A. Breve, Liang Zhao, Marcos G. Quiles, Elbert E. N. Macau:
Chaotic phase synchronization for visual selection. 383-390 - Dominic Palmer-Brown, Chrisina Draganova, Sin Wee Lee:
Snap-drift neural network for selecting student feedback. 391-398 - N. Andrew Browning, Stephen Grossberg, Ennio Mingolla:
A neural model of visually-guided navigation in a cluttered world. 399-400 - Daniel Bullock, Can Ozan Tan:
Computational implications of microcircuit specializations in forebrain circuits for motivated action selection. 401-407 - Thomas Burwick:
Temporal coding: Competition for coherence and new perspectives on assembly formation. 408-417 - Feng Cai, Vladimir Cherkassky:
SVM+ regression and multi-task learning. 418-424 - Qiao Cai, Haibo He, Hong Man:
SOMSO: A self-organizing map approach for spatial outlier detection with multiple attributes. 425-431 - Pascual Campoy Cervera:
Dimensionality reduction by self organizing maps that preserve distances in output space. 432-438 - Yuan Cao, Haibo He, Rajarathnam Chandramouli:
A novel portfolio optimization method for foreign currency investment. 439-445 - Yuan Cao, Haibo He, Xiaoping Shen:
DensityRank: A novel feature ranking method based on kernel estimation. 446-453 - Gail A. Carpenter:
Large-scale neural systems for vision and cognition. 454-459 - Rocio Carrasco, Edgar N. Sánchez, Catherine Cadet:
Neuronal network identification of a wastewater treatment prototype. 460-466 - Pablo A. D. Castro, Fernando J. Von Zuben:
Learning Bayesian networks to perform feature selection. 467-473 - Mario Ignacio Chacon Murguia, Gonzalez D. Sergio, Javier Vega-Pineda:
Simplified SOM-neural model for video segmentation of moving objects. 474-480 - Goutam Chakraborty, Basabi Chakraborty, Jagdish Chandra Patra, Chotipat Pornavalai:
An MLP-based face authentication technique robust to orientation. 481-488 - Faicel Chamroukhi, Allou Samé, Gérard Govaert, Patrice Aknin:
A regression model with a hidden logistic process for feature extraction from time series. 489-496 - Shanmuganathan Chandrakala, Chellu Chandra Sekhar:
Combination of generative models and SVM based classifier for speech emotion recognition. 497-502 - Sylvain Chartier, Gyslain Giguère, Dominic Langlois, Rana Sioufi:
Bidirectional Associative Memories, Self-Organizing Maps and k-Winners-Take-All: Uniting feature extraction and topological principles. 503-510 - Miguel Perez Chavariar, Carlos Mejia, Cécile Mallet, Michel Crépon, Fouad Badran, Sylvie Thiria:
Rain rate retrieval by processing the observations of the 85V and 85H GHz channels of the SSM/I and TMI passive microwave sensors. 511-517 - Qihong Chen, Shuhai Quan, Changjun Xie:
Nonlinear predictive control for oxygen supply of a fuel cell system. 518-521 - Sheng Chen, Haibo He:
SERA: Selectively recursive approach towards nonstationary imbalanced stream data mining. 522-529 - Songjie Chen, Yang Yang, Sivasubramanya N. Balakrishnan, Nhan T. Nguyen, Kalmanje Krishnakumar:
SNAC convergence and use in adaptive autopilot design. 530-537 - Long Cheng, Zeng-Guang Hou, Noriyasu Homma, Min Tan, Madan M. Gupta:
Solving convex optimization problems using recurrent neural networks in finite time. 538-543 - Vladimir Cherkassky, Feng Cai, Lichen Liang:
Predictive learning with sparse heterogeneous data. 544-551 - Chi-Chung Cheung, Sin Chun Ng:
The multi-phase method in fast learning algorithms. 552-559 - Soukeina Ben Chikha, Kirmene Marzouki:
A behavioral study of learning in standard SOM and in S-SOM. 560-565 - Minkook Cho, Hyeyoung Park:
Nonlinear dimension reduction using ISOMap based on class information. 566-570 - Ji Ryang Chung, Jaerock Kwon, Yoonsuck Choe:
Evolution of recollection and prediction in neural networks. 571-577 - Ryan Cleaver, Ganesh K. Venayagamoorthy:
Learning nonlinear functions with MLPs and SRNs. 578-585 - Fengyu Cong, Zhilin Zhang, Igor Kalyakin, Tiina Huttunen-Scott, Heikki Lyytinen, Tapani Ristaniemi:
Non-negative matrix factorization Vs. FastICA on mismatch negativity of children. 586-590 - Juan Jose Cordova, Wen Yu:
Stable fourier neural networks with application to modeling lettuce growth. 591-596 - Sathya Costagliola, Bernardo Dal Seno, Matteo Matteucci:
Recognition and classification of P300s in EEG signals by means of feature extraction using wavelet decomposition. 597-603 - Mark A. Cowan, Cary D. Butler:
Using input-space bisection and backpropagation as a method to emulate complex numerical simulations for design decision making. 604-611 - Paolo Crippa, Francesco Gianfelici, Claudio Turchetti:
Information theoretical algorithm based on statistical models for blind identification of nonstationary dynamical systems. 612-618 - Sven F. Crone, Nikolaos Kourentzes:
Input-variable specification for Neural Networks - An analysis of forecasting low and high time series frequency. 619-626 - Rossana M. S. Cruz, Paulo H. da F. Silva, Adailo G. D'Assuncao:
Synthesis of crossed dipole frequency selective surfaces using genetic algorithms and artificial neural networks. 627-633 - Jing Dai, Ganesh K. Venayagamoorthy, Ronald G. Harley:
Harmonic identification using an Echo State Network for adaptive control of an active filter in an electric ship. 634-640 - Heydar Davoudi, Ali Taalimi, Emad Fatemizadeh:
Extracting activated regions of fMRI data using unsupervised learning. 641-645 - Sergio Decherchi, Paolo Gastaldo, Mauro Parodi, Rodolfo Zunino:
Circuit implementation of SVM training. 646-651 - Sergio Decherchi, Paolo Gastaldo, Judith Redi, Rodolfo Zunino:
Maximal-discrepancy bounds for regularized classifiers. 652-656 - James M. DeLeo, Carl Leonard, Anne E. Sumner:
Constructing clinical scoring systems to determine the need for an oral glucose tolerance test. 657-662 - Emilio Del-Moral-Hernandez, Humberto Sandmann, Gleison Araujo:
Context dependent pattern recognition - A framework for hybrid architectures bridging chaotic neural networks based on Recursive Processing Elements and symbolic information. 663-670 - Rustu Murat Demirer, Robert Kozma, Mert Çaglar, Yasar Polatoglu:
A new nonlinear filter design for the detection of phase transitions in ECoG data. 671-676 - Priyanka Desai, Sreela Sasi, Manoj Kumar Prabhakaran:
Vision based Injector Spray pattern Testing system. 677-682 - Robert Desimone:
Neural synchrony and selective attention. 683-684 - Gianluca Di Muro, Silvia Ferrari:
A constrained backpropagation approach to solving Partial Differential Equations in non-stationary environments. 685-689 - Alessandro G. Di Nuovo, Santo Di Nuovo, Serafino Buono, Vincenzo Catania:
Feedforward artificial neural network to estimate iq of mental retarded people from different psychometric instruments. 690-696 - Daniel B. Dias, Renata C. B. Madeo, Thiago Rocha, Helton Hideraldo Bíscaro, Sarajane Marques Peres:
Hand movement recognition for Brazilian Sign Language: A study using distance-based neural networks. 697-704 - Kyle B. Dickerson, Dan Ventura:
Music recommendation and query-by-content using Self-Organizing Maps. 705-710 - Travis Dierks, Balaje T. Thumati, Sarangapani Jagannathan:
Adaptive dynamic programming-based optimal control of unknown affine nonlinear discrete-time systems. 711-716 - Aroor Dinesh Dileep, Chellu Chandra Sekhar:
Representation and feature selection using multiple kernel learning. 717-722 - Simona Doboli, Vincent R. Brown, Ali A. Minai:
A conceptual neural model of idea generation. 723-729 - Ryanne Dolan, Guilherme N. DeSouza:
GPU-based simulation of cellular neural networks for image processing. 730-735 - Franck Dufrenois, Jean-Charles Noyer:
A kernel hat matrix based rejection criterion for outlier removal in support vector regression. 736-743 - Hazem M. El-Bakry, Nikos E. Mastorakis:
A simple design and implementation of reconfigurable neural networks. 744-750 - Hazem M. El-Bakry, Mohamed Hamada:
Fast principal component analysis for face detection using cross-correlation and image decomposition. 751-756 - Hazem M. El-Bakry:
Fast record detection in large databases using new high speed time delay neural networks. 757-763 - David A. Elizondo, Ralph Birkenhead, Matías Gámez, Noelia García Rubio, Esteban Alfaro Cortés:
Estimation of classification complexity. 764-770 - Ryan Elwell, Robi Polikar:
Incremental learning in nonstationary environments with controlled forgetting. 771-778 - Wael Emara, Mehmed M. Kantardzic:
Local properties of RBF-SVM during training for incremental learning. 779-786 - Péter Érdi:
Lessons from complex systems modeling: Crisis, innovation, decision making. 787-788 - Pablo A. Estévez, Andrés M. Chong:
A robust nonlinear projection method using the neural gas network. 789-796 - Nastaran Farahmand, Mir Hossein Dezfoulian, Hossein GhiasiRad, Alireza Mokhtari, Ali Nouri:
Online temporal pattern learning. 797-802 - Bruno J. T. Fernandes, George D. C. Cavalcanti, Ing Ren Tsang:
A receptive field based approach for face detection. 803-810 - Aida Araujo Ferreira, Teresa Bernarda Ludermir:
Genetic algorithm for reservoir computing optimization. 811-815 - Ednaldo J. Ferreira, Alexandre C. B. Delbem, Roseli A. F. Romero, Osvaldo N. Oliveira:
Random subspaces of the instance and principal component spaces for ensembles. 816-819 - Juan Figueredo, Janatan Gomez:
Applying neural fields to the stability problem of an inverted pendulum as a simple biped walking model. 820-827 - Simone G. O. Fiori, Toshihisa Tanaka:
Learning averages over the lie group of symmetric positive-definite matrices. 828-832 - Simone G. O. Fiori:
Learning averages over the lie group of unitary matrices. 833-837 - Dominik Fisch, Bernhard Sick:
Training of radial basis function classifiers with resilient propagation and variational Bayesian inference. 838-847 - Alexandru G. Floares:
A neural networks algorithm for inferring drug gene regulatory networks from microarray time-series with missing transcription factors information. 848-854 - Alexandru G. Floares:
Intelligent clinical decision supports for interferon treatment in chronic hepatitis C and B based on i-biopsyTM. 855-860 - Komla A. Folly, Ganesh K. Venayagamoorthy:
Effects of learning rate on the performance of the population based incremental learning algorithm. 861-868 - José Fernando Fontanari, Vadim Tikhanoff, Angelo Cangelosi, Leonid I. Perlovsky:
A cross-situational algorithm for learning a lexicon using Neural modeling fields. 869-876 - Alejandro Foullon-Perez, Simon M. Lucas:
Orientational features with the SNT-grid. 877-881 - Walter J. Freeman:
Cortical mechanisms of memory formation and readout. 882-889 - Antonino Freno, Edmondo Trentin, Marco Gori:
Scalable statistical learning: A modular bayesian/markov network approach. 890-897 - Hong Fu, Shuya Zhang, Zheru Chi, David Dagan Feng, Xiaoyu Zhao:
Tree structures with attentive objects for image classification using a neural network. 898-902 - Si-Yao Fu, Guosheng Yang, Zeng-Guang Hou:
LS-SVM based neural controller as optimized by particle swarm algorithm using dual heuristic dynamic programming. 903-908 - Rita Fuentes, Alexander S. Poznyak, Isaac Chairez, Tatyana Poznyak:
Neural numerical modeling for uncertain distributed parameter systems. 909-916 - Alejandro García-González, Isaac Chairez, Alexander S. Poznyak, Tatyana Poznyak:
Robust identification of uncertain nonlinear systems with state constrains by Differential Neural Networks. 917-924 - Ramón García-Hernández, Edgar N. Sánchez, Maarouf Saad, Eduardo Bayro-Corrochano:
Discrete-time decentralized neural block controller for a five DOF robot manipulator. 925-931 - Rodolfo García-Rodríguez, Pablo Zegers, Vicente Parra-Vega:
Bounded-time system identification under neuro-sliding training. 932-937 - Beatriz Aurora Garro Licon, Juan Humberto Sossa Azuela, Roberto Antonio Vázquez:
Design of artificial neural networks using a modified Particle Swarm Optimization algorithm. 938-945 - Eduardo Gasca, Juan H. Pacheco, Fernando Alvarez:
Neural networks for fitting PES data distributions of asphaltene interaction. 946-952 - Adam E. Gaweda:
Improving management of Anemia in End Stage Renal Disease using Reinforcement Learning. 953-958 - George K. Georgoulas, Voula C. Georgopoulos, George Stylios, Chrysostomos D. Stylios:
Detection of articulation disorders using Empirical Mode Decomposition and neural networks. 959-964 - Madhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, Bijaya K. Panigrahi:
A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects. 965-972 - Soumya Ghosh, Soundararajan Srinivasan, Burton Andrews:
Using weak supervision in learning Gaussian mixture models. 973-979 - Gecynalda Soares da Silva Gomes, Teresa Bernarda Ludermir, Leandro M. Almeida:
Neural networks with asymmetric activation function for function approximation. 980-987 - V. Scott Gordon, Michael Daniels, James Boheman, Marcus Watstein, Derek Goering, Brandon Urban:
Visualization tool for a Self-Splitting modular Neural Network. 988-993 - Mihajlo Grbovic, Slobodan Vucetic:
Learning Vector Quantization with adaptive prototype addition and removal. 994-1001 - Stephen Grossberg:
View-invariant object category learning, attention, recognition, search, and scene understanding. 1002-1004 - Nistor Grozavu, Younès Bennani, Mustapha Lebbah:
From variable weighting to cluster characterization in topographic unsupervised learning. 1005-1010 - Beata J. Grzyb, Eris Chinellato, Grzegorz M. Wójcik, Wieslaw A. Kaminski:
Facial expression recognition based on Liquid State Machines built of alternative neuron models. 1011-1017 - Beata J. Grzyb, Eris Chinellato, Grzegorz M. Wójcik, Wieslaw A. Kaminski:
Which model to use for the Liquid State Machine? 1018-1024 - Cengiz Günay, Astrid A. Prinz:
Finding sensors for homeostasis of biological neuronal networks using artificial neural networks. 1025-1032 - Haixiang Guo, Lanlan Li, Kejun Zhu, Chang Ding:
Application of PSO and MPSO in project scheduling of the first mining face in coal mining. 1033-1040 - Wei Guo, Liqing Zhang:
Temporal competitive learning induced in neural networks by spike timing-dependent plasticity. 1041-1046 - Ankur Gupta:
Detecting load conditions in human walking using expectation maximization and neural networks. 1047-1053 - Ankur Gupta, Lyle N. Long:
Hebbian learning with winner take all for spiking neural networks. 1054-1060 - Gurunath Gurrala, Radhakant Padhi, Indraneel Sen:
Power System Stability enhancement by Single Network Adaptive Critic Stabilizers. 1061-1066 - Pedro Antonio Gutiérrez, César Hervás-Martínez, Francisco J. Martínez-Estudillo, Juan Carlos Fernández:
MultiLogistic Regression using Initial and Radial Basis Function covariates. 1067-1074 - Donghyeop Han, Heeyoul Choi, Choonseog Park, Yoonsuck Choe:
Fast and accurate retinal vasculature tracing and kernel-Isomap-based feature selection. 1075-1082 - Min Han, Jianchao Fan, Bing Han:
An Adaptive dynamic evolution feedforward neural network on modified particle swarm optimization. 1083-1089 - Min Han, Yanan Wang:
Nonlinear time series online prediction using reservoir kalman filter. 1090-1094 - Daichi Hanagaki, Yuko Osana:
Similarity-based image retrieval considering artifacts by self-organizing map with refractoriness. 1095-1100 - Sebastian Handrich, Andreas Herzog, Andreas Wolf, Christoph S. Herrmann:
Prerequisites for integrating unsupervised and reinforcement learning in a single network of spiking neurons. 1101-1106 - Taku Haraguchi, Haruna Matsushita, Yoshifumi Nishio:
Community self-organizing map and its application to data extraction. 1107-1114 - Moufid Harb, Rami S. Abielmona, Emil M. Petriu:
Speed control of a mobile robot using neural networks and fuzzy logic. 1115-1121 - Mohammed A. Hasan:
Families of orthonormalization algorithms. 1122-1127 - Mohammed A. Hasan:
On multi-set canonical correlation analysis. 1128-1133 - Sho Hashimoto, Hiroyuki Torikai:
Bifurcation analysis of a reconfigurable hybrid spiking neuron and its novel online learning algorithm. 1134-1141 - Hassab Elgawi Osman:
A binary classification and online vision. 1142-1148 - Hado van Hasselt, Marco A. Wiering:
Using continuous action spaces to solve discrete problems. 1149-1156 - S. Riaz ul Hassnain, Azzam ul Asar, Farah Mahmood:
Performance of STLF model from the PSO, time series and regression perspectives. 1157-1162 - Chao-Hui Huang, Wee Kheng Leow, Daniel Racoceanu:
A Cellular Neural Network as a Principal Component Analyzer. 1163-1170 - Hirotomo Hayashi, Qiangfu Zhao:
Model reduction of neural network trees based on dimensionality reduction. 1171-1176 - Hongmei He, Jonathan Lawry:
A linguistic CMAC equivalent to a Linguistic Decision Tree for classification. 1177-1183 - Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An extended definition for neural morphisms. 1184-1191 - Sébastien Hélie, F. Gregory Ashby:
A neurocomputational model of automaticity and maintenance of abstract rules. 1192-1198 - Sébastien Hélie, Ron Sun:
Simulating incubation effects using the Explicit Implicit Interaction with Bayes Factor (EII-BF) model. 1199-1205 - Gyeongyong Heo, Paul D. Gader:
Learning the number of gaussian components using hypothesis test. 1206-1212 - Gyeongyong Heo, Paul D. Gader, Hichem Frigui:
Robust kernel PCA using fuzzy membership. 1213-1220 - Raul Acosta Hernandez, Marius Strum, Jiang Chau Wang, Jose Artur Quilici González:
The Multiple Pairs SMO: A modified SMO algorithm for the acceleration of the SVM training. 1221-1228 - Herve Le Guen, Sorin Moga:
A model of cooperative agent based on imitation and Maslow's Pyramid of needs. 1229-1236 - Akira Hirose:
Complex-valued neural networks: The merits and their origins. 1237-1244 - Honggui Han, Junfei Qiao:
A novel pruning algorithm for self-organizing neural network. 1245-1250 - Haruo Hosoya:
A motor learning neural model based on Bayesian network and reinforcement learning. 1251-1258 - Chih-Hung Hsieh, Darby Tien-Hao Chang, Yen-Jen Oyang:
Data classification with a generalized Gaussian components based density estimation algorithm. 1259-1266 - Hwa-Shan Huang, Nikhil R. Pal, Li-Wei Ko, Chin-Teng Lin:
Automatic identification of useful independent components with a view to removing artifacts from eeg signal. 1267-1271 - Kaizhu Huang, Zenglin Xu, Irwin King, Michael R. Lyu, Colin Campbell:
Supervised Self-taught Learning: Actively transferring knowledge from unlabeled data. 1272-1277 - Kou-Jen Huang, Kou-Yuan Huang, Luke K. Wang, Ying-Liang Chou, Yueh-Hsun Hsieh, Shan-Chih Hsieh:
Simulated annealing for pattern detection and seismic analysis. 1278-1285 - Xi Huang, Ying Tan, Xingui He:
An intelligent multi-feature statistical approach for discrimination of driving conditions of hybrid electric vehicle. 1286-1293 - Yaping Huang, Jiali Zhao, Mei Tian, Qi Zou, Siwei Luo:
Slow Feature Discriminant Analysis and its application on handwritten digit recognition. 1294-1297 - Zsófia Huhn, Zoltán Somogyvári, Tamás Kiss, Péter Érdi:
Extraction of distance information from the activity of entorhinal grid cells: a model study. 1298-1303 - Vu Thi Lan Huong, Dong-Chul Park, Yunsik Lee:
Centroid neural network for face recognition. 1304-1309 - Vu Thi Lan Huong, Dong-Chul Park, Dong-Min Woo, Yunsik Lee:
Centroid neural network with Chi square distance measure for texture classification. 1310-1315 - Thuan Q. Huynh, James A. Reggia:
Improving rule extraction from neural networks by modifying hidden layer representations. 1316-1321 - Alexander Ilin, Alexey Kaplan:
Bayesian PCA for reconstruction of historical sea surface temperatures. 1322-1327 - Roman Ilin, Robert Kozma:
Sensor integration in KIV brain model for decision making. 1328-1334 - Takashi Inoue, Yoshifumi Nishio:
Applications of color image processing using three-layer cellular neural network considering HSB model. 1335-1342 - Jason C. Isaacs:
Stochastic orthogonal and nonorthogonal subspace basis pursuit. 1343-1348 - Abraham K. Ishihara, Shahar Ben-Menahem, Nhan Nguyen:
Protection ellipsoids for stability analysis of feedforward neural-net controllers. 1349-1356 - Tanvir Islam, Yoko Yamaguchi:
Representation of an environmental space by grid fields: A study with a computational model of the grid cell based on a column structure. 1357-1364 - Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui:
An iterative learning scheme for multistate complex-valued and quaternionic Hopfield neural networks. 1365-1371 - Serena Ivaldi, Marco Baglietto, Franco Davoli, Riccardo Zoppoli:
Optimal control of communication in energy constrained sensor networks through team theory and Extended RItz Method. 1372-1379 - Laxmi R. Iyer, Ali A. Minai, Vincent R. Brown, Paul B. Paulus, Simona Doboli:
Effects of relevant and irrelevant primes on idea generation: A computational model. 1380-1387 - Hamid Izadinia, Fereshteh Sadeghi, Mohammad Mehdi Ebadzadeh:
A Hybrid Fuzzy Neuro-Immune Network based on Multi-Epitope approach. 1388-1393 - Brijnesh J. Jain, Klaus Obermayer:
Bimal: Bipartite matching alignment for the contact map overlap problem. 1394-1400 - Brijnesh J. Jain, Brijnesh Stehr, Michael Lappe, Klaus Obermayer:
Multiple alignment of contact maps. 1401-1406 - Derek James, Anthony S. Maida:
Sequential hierarchical recruitment learning in a network of spiking neurons. 1407-1413 - Marko V. Jankovic, Masashi Sugiyama:
Probabilistic principal component analysis based on JoyStick Probability Selector. 1414-1421 - Girish K. Jha, Parimala Thulasiraman, Ruppa K. Thulasiram:
PSO based neural network for time series forecasting. 1422-1427 - Yulei Jiang, Richard M. Zur, Lorenzo L. Pesce, Karen Drukker:
A study of the effect of noise injection on the training of artificial neural networks. 1428-1432 - Ghassan Omar Jibril, Marifi Güler:
The renormalization of neuronal dynamics can enhance temporal synchronization among synaptically coupled neurons. 1433-1438 - Raghavender R. Jillela, Arun Ross:
Adaptive frame selection for improved face recognition in low-resolution videos. 1439-1445 - Jin Zhang, Shangwu Zhu, Rulong Wang, Guang Li, Walter J. Freeman:
A new method to generate color texture images based on HSV and olfactory system bionic model. 1446-1449 - Cameron Johnson, Ganesh K. Venayagamoorthy, Pinaki Mitra:
Online identification of generator dynamics in a multimachine power system with a spiking neural network. 1450-1455 - Prashant Joshi, Jochen Triesch:
Rules for information maximization in spiking neurons using intrinsic plasticity. 1456-1461 - Quan Ju, Simon O'Keefe, Jim Austin:
Binary neural network based 3D facial feature localization. 1462-1469 - Junfei Qiao, Miao Li, Hong-Gui Han:
A self-organizing neural network using fast training and pruning. 1470-1475 - Shutaro Kabeya, Tohru Abe, Toshimichi Saito:
A GA-based flexible learning algorithm with error tolerance for digital binary neural networks. 1476-1480 - Sukumar Kamalasadan, Gerald D. Swann:
An intelligent hybrid controller for speed control and stabilization of synchronous generator. 1481-1488 - Sukumar Kamalasadan, Gerald D. Swann, Adel A. Ghandakly:
An intelligent paradigm for electric generator control based on supervisory loops. 1489-1496 - Ryotaro Kamimura:
Selective enhancement learning in competitive learning. 1497-1502 - Ryotaro Kamimura:
Self-enhancement learning: Self-supervised and target-creating learning. 1503-1509 - Kesav Kancherla, Srinivas Mukkamala:
Video steganalysis using motion estimation. 1510-1515 - Jeong-Gwan Kang, Su-Yong An, Sunhyo Kim, Se-Young Oh:
Sonar based Simultaneous Localization and Mapping using a Neuro Evolutionary Optimization. 1516-1523 - Bernhard Kaplan, Daniel Brüderle, Johannes Schemmel, Karlheinz Meier:
High-conductance states on a neuromorphic hardware system. 1524-1530 - Vassilios A. Kappatos, George K. Georgoulas, Chrysostomos D. Stylios, Evangelos Dermatas:
Evolutionary dimensionality reduction for crack localization in ship structures using a hybrid computational intelligent approach. 1531-1538 - Eva Kaslik:
Dynamics of a discrete-time bidirectional ring of neurons with delay. 1539-1546 - John Kassab, Santosh V. Nagaraj:
Adaptive modulation in an OFDM communications system with artificial neural networks. 1547-1551 - Masakazu Kawahara, Takashi Inoue, Yoshifumi Nishio:
Cellular neural network with dynamic template and its output characteristics. 1552-1558 - Yusuke Kawashima, Daisuke Atuti, Kazuki Nakada, Masato Okada, Takashi Morie:
Coarse image region segmentation using region-and boundary-based coupled MRF models and their PWM VLSI implementation. 1559-1565 - Vojislav Kecman, Tao Yang:
Adaptive Local Hyperplane for regression tasks. 1566-1570 - Zahra Khalili, Mohammad H. Moradi:
Emotion recognition system using brain and peripheral signals: Using correlation dimension to improve the results of EEG. 1571-1575 - Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Constructing prediction intervals for neural network metamodels of complex systems. 1576-1582 - Abbas Khosravi, Saeid Nahavandi, Douglas C. Creighton:
Developing optimal neural network metamodels based on prediction intervals. 1583-1589 - Reza Khosrowabadi, Abdul Wahab, Kai Keng Ang, Mohammad H. Baniasad:
Affective computation on EEG correlates of emotion from musical and vocal stimuli. 1590-1594 - Peerapol Khunarsal, Chidchanok Lursinsap, Thanapant Raicharoen:
Singing voice recognition based on matching of spectrogram pattern. 1595-1599 - Andrew Kilinga Kikombo, Tetsuya Asai, Takahide Oya, Alexandre Schmid, Yusuf Leblebici, Yoshihito Amemiya:
A pulse-density modulation circuit exhibiting noise shaping with single-electron neurons. 1600-1605 - Jae-Young Kim, Dong-Chul Park:
Application of Bhattacharyya kernel-based Centroid Neural Network to the classification of audio signals. 1606-1610 - Tae-Hyung Kim, Larry D. Pyeatt, Donald C. Wunsch:
Reconfigurable disruption tolerant routing via Reinforcement Learning. 1611-1616 - Shuhei Kimura, Yuichi Shiraishi, Mariko Hatakeyama:
Inference of genetic networks using linear programming machines: Application of a priori knowledge. 1617-1624 - Irwin King, Jiexing Li, Kam Tong Chan:
A brief survey of computational approaches in Social Computing. 1625-1632 - Mikhail V. Kiselev:
Self-organized spiking neural network recognizing phase/frequency correlations. 1633-1639 - Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based least squares support vector machines for pattern classification. 1640-1646 - Edgar Körner:
Brain-like intelligence inside - Towards autonomously interacting systems. 1647-1648 - Ryo Kosaka, Yuko Osana:
Identification of artifacts in scenery images using color and line information by RBF network. 1649-1654 - Hiroshi Koshimizu, Toshimichi Saito:
Parallel ant colony optimizers with local and global ants. 1655-1659 - Boris Kovalerchuk, Leonid I. Perlovsky:
Fusion and mining spatial data in cyber-physical space with Dynamic Logic of Phenomena. 1660-1667 - Vladimir M. Krasnopolsky, Stephen J. Lord, Shrinivas Moorthi, Todd Spindler:
How to deal with inhomogeneous outputs and high dimensionality of neural network emulations of model physics in numerical climate and weather prediction models. 1668-1673 - Shigeru Kubota, Tatsuo Kitajima:
How balance between LTP and LTD can be controlled in spike-timing-dependent learning rule. 1674-1679 - Raghavendra V. Kulkarni, Ganesh K. Venayagamoorthy:
Neural network based secure media access control protocol for wireless sensor networks. 1680-1687 - Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen:
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. 1688-1695 - Lucas K. C. Lai, James N. K. Liu:
A neural network and CBR-based model for Sewing Minute Value. 1696-1701 - Man Lan, Yu Xu, Lin Li, Fei Wang, Ying Zuo, Yuan Chen, Chew Lim Tan, Jian Su:
CpG-discover: A machine learning approach for CpG islands identification from human DNA sequence. 1702-1707 - Yuan Lan, Yeng Chai Soh, Guang-Bin Huang:
A constructive enhancement for Online Sequential Extreme Learning Machine. 1708-1713 - Valentina Lanza, Fernando Corinto, Marco Gilli:
Diffusive coupled cyclic negative feedback systems. 1714-1721 - Carl Latino, Marco A. Moreno-Armendáriz, Martin T. Hagan:
Realizing general MLP networks with minimal FPGA resources. 1722-1729 - Hong Lee, Brijesh K. Verma:
Binary Segmentation with Neural Validation for Cursive Handwriting Recognition. 1730-1735 - Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide:
Evolving granular classification neural networks. 1736-1743 - Mauricio U. Leiva, Tomás Vidal Arredondo, Diego Candel, Lioubov Dombrovskaia, Loreine Agulló, Michael Seeger, Félix Vásquez:
Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining. 1744-1749 - George G. Lendaris:
A retrospective on Adaptive Dynamic Programming for control. 1750-1757 - Siyu Leng, Wenxin Liu, Il-Yop Chung, David A. Cartes, Chris S. Edrington:
Design, modeling, and position control of a single-phase reluctance machine. 1758-1763 - Sylvain Lespinats, Anke Meyer-Bäse, Frank Steinbrücker, Thomas Schlossbauer:
Evaluation and visual exploratory analysis of DCE-MRI Data of breast lesions based on morphological features and novel dimension reduction methods. 1764-1770 - Daniel S. Levine:
Executive function, rule selection, and probability judgment. 1771-1776 - William B. Levy, Kai S. Chang, Andrew G. Howe:
Progressively introducing quantified biological complexity into a hippocampal CA3 model. 1777-1783 - Boyang Li, Qiangwei Wang, Jinglu Hu:
A fast SVM training method for very large datasets. 1784-1789 - Yongtao Li, Shuhei Kurata, Ryosuke Yoshinaka, Shigetoshi Nara:
Chaotic dynamics in quasi-layered recurrent neural network model and application to complex control via simple rule. 1790-1796 - Sheng-Fu Liang, Chi-Sheng Liu, Wan-Lin Chang, Yu-Hsiang Tsao, Li-Wei Ko, Chin-Teng Lin:
Assessment of musical training induced neuroplasticity by auditory event related potentials and neural networks. 1797-1801 - Naiyan Hari Cândido Lima, Adrião Duarte Dória Neto, Jorge Dantas de Melo:
Creating an ensemble of diverse support vector machines using Adaboost. 1802-1806 - Wei-Song Lin, Jih-Wen Sheu:
Neuro-dynamic programming with recurrent critic for automatic train regulation of metro line. 1807-1813 - Xiaofeng Lin, Jiaran Yang, Huixia Liu, Shaojian Song, Chunning Song:
An improved method of DHP for optimal control in the clarifying process of sugar cane juice. 1814-1819 - Ondrej Linda, Milos Manic:
GNG-SVM framework - classifying large datasets with Support Vector Machines using Growing Neural Gas. 1820-1826 - Ondrej Linda, Todd Vollmer, Milos Manic:
Neural Network based Intrusion Detection System for critical infrastructures. 1827-1834 - Ralph Linsker:
Neural learning of Kalman filtering, Kalman control, and system identification. 1835-1842 - Bing Liu, Mingjie Qian:
A speed-up algorithm for Poisson Propagation. 1843-1848 - Derong Liu, Ning Jin:
Adaptive dynamic programming for discrete-time systems with infinite horizon and ELEMENT OF -error bound in the performance cost. 1849-1854 - Jindong Liu, David Pérez-González, Adrian Rees, Harry R. Erwin, Stefan Wermter:
A biomimetic spiking neural network of the auditory midbrain for mobile robot sound localisation in reverberant environments. 1855-1862 - Yi-Hung Liu, Yan-Chen Liu:
Reducing the run-time complexity of support vector data descriptions. 1863-1870 - Zhiming Liu, Qingchuan Tao:
Face Recognition using new image representations. 1871-1876 - Aleksander Lodwich, Yves Rangoni, Thomas M. Breuel:
Evaluation of robustness and performance of Early Stopping Rules with Multi Layer Perceptrons. 1877-1884 - András Lörincz, Gábor Szirtes:
Autoregressive model of the hippocampal representation of events. 1885-1892 - Xuyang Lou, Ruliang Wang, Baotong Cui:
Boundedness and stability for the solutions of impulsive neural networks with time-varying delay. 1893-1899 - Rita Lovassy, László T. Kóczy, László Gál:
Function approximation capability of a novel fuzzy flip-flop based neural network. 1900-1907 - Christopher T. Lovelace, Reza Derakhshani, Sriram Pavan K. Tankasala, Diane L. Filion:
Classification of startle eyeblink metrics using neural networks. 1908-1914 - Jorge de-J. Lozoya-Santos, Rubén Morales-Menéndez, Ricardo Ramírez-Mendoza:
Design of experiments for MR damper modelling. 1915-1922 - Bipul Luitel, Ganesh K. Venayagamoorthy:
A PSO with quantum infusion algorithm for training Simultaneous Recurrent Neural Networks. 1923-1930 - Andrew Luk, Sandra Lien:
Effects of widely separated clusters on lotto-type competitive learning with particle swarm features. 1931-1938 - Jia Ma, Tao Yang, Zeng-Guang Hou, Min Tan:
Neural network disturbance observer based controller of an electrically driven stewart platform using backstepping for active vibration isolation. 1939-1944 - Xiaohong Ma, Yan Qin, Hualou Liang:
A novel audio color watermarking scheme based on self-organizing map. 1945-1952 - Sanjeev S. Malalur, Michael T. Manry:
Feed-forward network training using optimal input gains. 1953-1960 - A. G. Malliaris, Mary Malliaris:
Time series and neural networks comparison on gold, oil and the euro. 1961-1967 - Mohsen Malmir, Saeed Shiry:
Class specific redundancies in natural images: A theory of extrastriate visual processing. 1968-1974 - Jordan M. Malof, Maciej A. Mazurowski, Georgia D. Tourassi:
The effect of class imbalance on case selection for case-based classifiers, with emphasis on computer-aided diagnosis systems. 1975-1980 - Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, Francesco Carlo Morabito:
Entropy spatial clustering in epileptic EEG. 1981-1986 - Danilo P. Mandic:
Complex valued recurrent neural networks for noncircular complex signals. 1987-1992 - Michail Maniadakis, Jun Tani, Panos E. Trahanias:
Time perception in shaping cognitive neurodynamics of artificial agents. 1993-2000 - Allan de Medeiros Martins, Samaherni M. Dias, Aldayr D. Araújo, Adrião D. D. Neto:
Soccer robot identification using Kernel based weighted least squares. 2001-2005 - Leonardo C. Martinez, Diego N. da Hora, João R. M. Palotti, Wagner Meira Jr., Gisele L. Pappa:
From an artificial neural network to a stock market day-trading system: A case study on the BM&F BOVESPA. 2006-2013 - David Martínez-Rego, Oscar Fontenla-Romero, Iago Porto-Díaz, Amparo Alonso-Betanzos:
A new supervised local modelling classifier based on information theory. 2014-2020 - Francesco Masulli, Alessandro Parini, Stefano Rovetta, Giuseppe Russo:
Searching for microRNA prostate cancer target genes. 2021-2026 - Yoshitatsu Matsuda, Kazunori Yamaguchi:
A simple overcomplete ICA algorithm by non-orthogonal pair optimizations. 2027-2031 - Toshihiko Matsuka, Hidehito Honda, Sachiko Kiyokawa, Arieta Chouchourelou:
Modeling high-order human intelligence with intelligence of swarm. 2032-2037 - Haruna Matsushita, Yoshifumi Nishio:
Network-Structured Particle Swarm Optimizer considering neighborhood relationships. 2038-2044 - Maciej A. Mazurowski, Georgia D. Tourassi:
Evaluating classifiers: Relation between area under the receiver operator characteristic curve and overall accuracy. 2045-2049 - Michael McCarron, Mahmood R. Azimi-Sadjadi, Michael Mungiole, David Marlin:
Rapid acoustic transmission loss prediction using an operationally adaptive system. 2050-2057 - Shahab Mehraeen, Sarangapani Jagannathan, Mariesa L. Crow:
Decentralized control of large scale interconnected systems using adaptive neural network-based dynamic surface control. 2058-2064 - Stefano Melacci, Marco Maggini, Lorenzo Sarti:
Semi-supervised clustering using similarity neural networks. 2065-2072 - Mauricio Menegaz, Paulo M. Engel:
Using the GTSOM network for mobile robot navigation with reinforcement learning. 2073-2077 - Hongying Meng, Shigang Yue, Andrew Hunter, Kofi Appiah, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A modified neural network model for Lobula Giant Movement Detector with additional depth movement feature. 2078-2083 - Hongying Meng, Kofi Appiah, Andrew Hunter, Shigang Yue, Mervyn Hobden, Nigel Priestley, Peter Hobden, Cy Pettit:
A modified sparse distributed memory model for extracting clean patterns from noisy inputs. 2084-2089 - Yicong Meng, Bertram Emil Shi:
Normalized phase shift motion energy neuron populations for image velocity estimation. 2090-2097 - Anke Meyer-Bäse, Susanne Cappendijk, Ernst Althaus:
Global uniform stability analysis of biological networks with different time-scales under perturbations. 2098-2102 - Jun Miao, Laiyun Qing, Lijuan Duan, Baixian Zou:
Single vs. population cell coding: Gaze movement control in target search. 2103-2108 - Ali A. Minai, Laxmi R. Iyer, Divyachapan Padur, Simona Doboli:
A dynamical connectionist model of idea generation. 2109-2116 - Georgiy R. Minasyan, John B. Chatten, Richard N. Harner:
Detection of epileptiform activity in unresponsive patients using ANN. 2117-2124 - Fernanda L. Minku, Xin Yao:
Using diversity to handle concept drift in on-line learning. 2125-2132 - Derek Monner, James A. Reggia:
An unsupervised learning method for representing simple sentences. 2133-2140 - Sangwoo Moon, Hairong Qi:
A hybrid feature extraction framework based on risk minimization and independence maximization. 2141-2144 - Jayram Moorkanikara Nageswaran, Nikil D. Dutt, Jeffrey L. Krichmar, Alex Nicolau, Alexander V. Veidenbaum:
Efficient simulation of large-scale Spiking Neural Networks using CUDA graphics processors. 2145-2152 - Tiago C. Mota, Antonio Carlos Gay Thomé:
One-Against-All-based multiclass SVM strategies applied to vehicle plate character recognition. 2153-2159 - Ouael Mouelhi, Pierre Couturier, Tanneguy Redarce:
A hybrid search algorithm in a multi-agent system environment for multicriteria optimization of products design. 2160-2167 - Xiaoyan Mu, Jiangfeng Lu, Paul Watta, Mohamad H. Hassoun:
Weighted voting-based ensemble classifiers with application to human face recognition and voice recognition. 2168-2171 - Martina Mueller, Sarah N. Taylor, Carol L. Wagner, Jonas S. Almeida:
Using an artificial neural network to predict necrotizing enterocolitis in premature infants. 2172-2175 - Cyro Muniz, Karla Figueiredo, Marley Maria Bernardes Rebuzzi Vellasco, Gustavo Chavez, Marco Aurélio Cavalcanti Pacheco:
Irregularity detection on low tension electric installations by neural network ensembles. 2176-2182 - Shigenori Muraoka, Shigeo Abe:
Sparse support vector regressors based on forward basis selection. 2183-2187 - Yi Lu Murphey, Zhihang Chen, Mahmoud Abou-Nasr, Ryan Baker, Timothy Feldkamp, Ilya V. Kolmanovsky:
Ensembles of neural networks with generalization capabilities for vehicle fault diagnostics. 2188-2194 - Mark H. Myers, Robert Kozma:
Seizure prediction through dynamic synchronization measures of neural populations. 2195-2201 - Jin Hee Na, Myoung Soo Park, Jin Young Choi:
A new discriminant analysis based on boundary/non-boundary pattern separation. 2202-2208 - Susumu Nagatoishi, Osamu Araki:
Effect of refractoriness on learning performance of a pattern sequence. 2209-2214 - D. D. Neema, Ram Narayan Patel, A. S. Thoke:
Rotor flux and torque estimator for vector controlled induction drive using ANN. 2215-2220 - Costas Neocleous, Panagiotis Anastasopoulos, Kypros H. Nikolaides, Christos N. Schizas, Kleanthis C. Neokleous:
Neural networks to estimate the risk for preeclampsia occurrence. 2221-2225 - Eufrásio de Andrade Lima Neto, Gauss Moutinho Cordeiro, Francisco de Assis Tenório de Carvalho, Ulisses Umbelino dos Anjos, Abner Gomes da Costa:
Bivariate Generalized Linear Model for Interval-Valued Variables. 2226-2229 - Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira:
Combining Artificial Neural Network and Particle Swarm System for time series forecasting. 2230-2237 - Cicero A. M. da Silva Neves, Mauro Roisenberg, Guenther Schwedersky Neto:
A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs. 2238-2242 - Chris Newby, Yingjie Yang, Huseyin Seker:
Investigation into effectiveness of rough sets in prediction of enzyme and protein structure classes. 2243-2249 - Yok-Yen Nguwi, Siu-Yeung Cho:
Support vector self-organizing learning for imbalanced medical data. 2250-2255 - Leonardo Nicolosi, Ronald Tetzlaff, Felix Abt, Andreas Blug, Daniel Carl, Heinrich Höfler:
New CNN based algorithms for the full penetration hole extraction in laser welding processes: Experimental results. 2256-2263 - Wataru Niide, Tadashi Tsubone, Yasuhiro Wada:
Identification of moving limb using near infrared spectroscopic signals for brain activation. 2264-2271 - Danko Nikolic:
Model this! Seven empirical phenomena missing in the models of cortical oscillatory dynamics. 2272-2279 - Kyosuke Nishida, Koichiro Yamauchi:
Learning, detecting, understanding, and predicting concept changes. 2280-2287 - David Norton, Dan Ventura:
Improving the separability of a reservoir facilitates learning transfer. 2288-2293 - Marco Aurelio Nuño-Maganda, Miguel O. Arias-Estrada, César Torres-Huitzil, Bernard Girau:
Hardware implementation of Spiking Neural Network classifiers based on backpropagation-based learning algorithms. 2294-2301 - Eduardo S. Ogasawara, Leonardo Gresta Paulino Murta, Geraldo Zimbrao, Marta Mattoso:
Neural networks cartridges for data mining on time series. 2302-2309 - Ryohei Ohta, Seiichi Ozawa:
An incremental learning algorithm of Recursive Fisher Linear Discriminant. 2310-2315 - Shogo Okada, Toyoaki Nishida:
Incremental clustering of gesture patterns based on a self organizing incremental neural network. 2316-2322 - Olutayo O. Oladunni, Gaurav Singhal:
Piecewise multi-classification support vector machines. 2323-2330 - Diego Marinho de Oliveira, Andre Luis de Oliveira Andrade, Cristiane Neri Nobre, Luis Enrique Zárate:
The usage of Artificial Neural Networks in the classification and forecast of potable water consumption. 2331-2338 - Diogo F. de Oliveira, Anne M. P. Canuto, Marcílio Carlos Pereira de Souto:
Use of multi-objective genetic algorithms to investigate the diversity/accuracy dilemma in heterogeneous ensembles. 2339-2346 - Renato Oliveira, Paulo J. L. Adeodato, Arthur Carvalho, Icamaan Viegas, Christian Diego, Ing Ren Tsang:
A data mining approach to solve the goal scoring problem. 2347-2352 - Katsuma Ono, Toshimichi Saito:
Application of particle swarm optimizers to two-objective problems in design of switching inverters. 2353-2357 - Takashi Onoda, Norihiko Ito, Hironobu Yamasaki:
Trouble condition sign discovery based on support vector machines for hydroelectric power plants. 2358-2365 - Akira Onoo, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
On automatic generation of VHDL code for self-organizing map. 2366-2373 - Sandra Osiceanu, Monica Dascalu, Eduard Franti, Adrian Barbilian:
Intelligent interfaces for locomotory prosthesis. 2374-2379 - Osonde Osoba, Sanya Mitaim, Bart Kosko:
Adaptive fuzzy priors for Bayesian inference. 2380-2387 - Mohamed Oubbati, Wolfgang Holoch, Günther Palm:
Neural fields for complex behavior generation on autonomous robots. 2388-2393 - Seiichi Ozawa, Yuki Kawashima, Shaoning Pang, Nikola K. Kasabov:
Adaptive incremental principal component analysis in nonstationary online learning environments. 2394-2400 - Shaoning Pang, Seiichi Ozawa, Nikola K. Kasabov:
Curiosity driven incremental LDA agent active learning. 2401-2408 - Mikko Pänkäälä, Mika Laiho, Paul E. Hasler:
Compact floating-gate learning array with STDP. 2409-2415 - Myoung Soo Park, Jin Young Choi:
A new discriminant analysis for non-normally distributed data based on datawise formulation of scatter matrices. 2416-2422 - Ashok Patel, Bart Kosko:
Neural signal-detection noise benefits based on error probability. 2423-2430 - Jagdish Chandra Patra, Nguyen C. Thanh, Pramod Kumar Meher:
Computationally efficient FLANN-based intelligent stock price prediction system. 2431-2438 - Jagdish Chandra Patra, Cédric Bornand, Goutam Chakraborty:
Hermite neural network-based intelligent sensors for harsh environments. 2439-2444 - Daniel Pavelec, Luiz S. Oliveira, Edson J. R. Justino, Francisco D. Nobre Neto, Leonardo Vidal Batista:
Compression and stylometry for author identification. 2445-2450 - Athanasios Pavlou, Matthew C. Casey:
A computational platform for visual fear conditioning. 2451-2458 - Giovanni Egidio Pazienza, Eduardo Gómez-Ramírez:
New properties of 2D Cellular Automata found through Polynomial Cellular Neural Networks. 2459-2466 - Fernando Agustin Pazos, Amit Bhaya, Eugenius Kaszkurewicz:
Unified control Liapunov function based design of neural networks that aim at global minimization of nonconvex functions. 2467-2474 - Helton Maia Peixoto, Ana Maria G. Guerreiro, Adrião D. D. Neto:
Image processing for eye detection and classification of the gaze direction. 2475-2480 - José Francisco Pereira, George D. C. Cavalcanti, Ing Ren Tsang:
Modular Image Principal Component Analysis for face recognition. 2481-2486 - Christian de Peretti, Carole Siani, Mario Cerrato:
An artificial neural network based heterogeneous panel unit root test in case of cross sectional independence. 2487-2493 - Martha O. Perez-Arriaga, Thomas P. Caudell:
A study of brain structure evolution in simple embodied neural agents using genetic algorithms and category theory. 2494-2500 - Leonid I. Perlovsky:
Emotions, language, and Sapir-Whorf hypothesis. 2501-2508 - Subramoniam Perumal, Ali A. Minai:
Stable-yet-switchable (SyS) attractor networks. 2509-2516 - Leif E. Peterson, Sameer Ather, Vijay Divakaran, Anita Deswal, Biykem Bozkurt, Douglas L. Mann:
Improved propensity matching for heart failure using neural gas and self-organizing maps. 2517-2524 - Stefan Philipp, Johannes Schemmel, Karlheinz Meier:
A QoS network architecture to interconnect large-scale VLSI neural networks. 2525-2532 - Marco Piastra:
A growing self-organizing network for reconstructing curves and surfaces. 2533-2540 - Filip Piekniewski:
Robustness of power laws in degree distributions for spiking neural networks. 2541-2546 - Glauber M. Pires, Aluízio F. R. Araújo:
A stochastic neural model for fast classification of binary images. 2547-2552 - Arjpolson Pukrittayakamee, Martin Hagan, Lionel Raff, Satish T. S. Bukkapatnam, Ranga Komanduri:
A network pruning algorithm for combined function and derivative approximation. 2553-2560 - Mullur Pushpalatha, Niranjan Nalini:
A compact network with improved generalization using wavelet basis function network for static non-linear functions. 2561-2565 - Mengyu Qiao, Andrew H. Sung, Qingzhong Liu:
Steganalysis of MP3Stego. 2566-2571 - Wei Qiao:
Echo-state-network-based real-time wind speed estimation for wind power generation. 2572-2579 - Jon T. S. Quah, Luo-Ren Lim:
Neural network based admission controller for proximity aware mobile services. 2580-2587 - Jon T. S. Quah, Luo-Ren Lim, Hendri Budi, Kim-Teng Lua:
Towards automated assessment of engineering assignments. 2588-2595 - Marcos G. Quiles, DeLiang Wang, Liang Zhao, Roseli A. Francelin Romero, De-Shuang Huang:
An oscillatory correlation model of object-based attention. 2596-2602 - A. Ravishankar Rao, Guillermo A. Cecchi:
An optimization approach to understanding structure-function relationships in the visual cortex. 2603-2610 - Alexander D. Rast, Mukaram M. Khan, Xin Jin, Luis A. Plana, Steve B. Furber:
A universal abstract-time platform for real-time neural networks. 2611-2618 - Alexander D. Rast, Stephen R. Welbourne, Xin Jin, Steve B. Furber:
Optimal connectivity in hardware-targetted MLP networks. 2619-2626 - Sekou L. Remy, Chung Hyuk Park, Ayanna M. Howard:
Improving the performance of ANN training with an unsupervised filtering method. 2627-2633 - Yong Ren, Keith Anderson, Khan M. Iftekharuddin, Paul Kim, William E. White:
Pose invariant face recognition using Cellular Simultaneous Recurrent Networks. 2634-2641 - Germano Resconi, Chu Kiong Loo, Nuo Wi Noel Tay:
Quantum Morphogenetic System in image recognition. 2642-2648 - Germano Resconi, Boris Kovalerchuk:
Agents in neural uncertainty. 2649-2656 - Alexander M. Reznik, Dmitry A. Dziuba:
Dynamic associative memory, based on open recurrent neural network. 2657-2663 - Anna Izabel J. Tostes Ribeiro, Luis E. Zárate, Fátima de L. P. Duarte-Figueiredo:
A representative validation of a neural 3G admission control through rules extraction. 2664-2670 - Emily Richardson, Yingjie Yang, John Hall:
A novel meta database for relationships between Bioinformatics databases. 2671-2677 - Pablo Rivas-Perea, José-Gerardo Rosiles, Wei Qian:
Self organizing maps for class discovery in the quantitative colocalization analysis feature space. 2678-2684 - Daniel Rivero, Julián Dorado, Juan R. Rabuñal, Alejandro Pazos:
Evolving simple feed-forward and recurrent ANNs for signal classification: A comparison. 2685-2692 - Paul Robinette, John Seiffertt, Ryan J. Meuth, Ryanne Dolan, Donald C. Wunsch:
An Agent-Based computational model of a self-organizing project management paradigm for research teams. 2693-2698 - Lia C. Rodrigues, Clodoaldo Ap. M. Lima, Pollyana Notargiacomo Mustaro:
Clustering online game communities through SOM. 2699-2702 - L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira:
A prime step in the time series forecasting with hybrid methods: The fitness function choice. 2703-2710 - Florian Röhrbein, Julian Eggert, Edgar Körner:
Child-friendly divorcing: Incremental hierarchy learning in Bayesian networks. 2711-2716 - Fabio Ruini, Angelo Cangelosi, Franck Zetule:
Individual and cooperative tasks performed by autonomous MAV Teams driven by embodied neural network controllers. 2717-2724 - Steele A. Russell, Anthony S. Maida:
Performance of generalized multi-layered perceptrons and layered arbitrarily connected networks trained using the Levenberg-Marquardt method. 2725-2731 - Leszek Rybicki, Yuuya Sugita, Jun Tani:
Reinforcement learning of multiple tasks using parametric bias. 2732-2739 - Sohrab Saeb, Cornelius Weber, Jochen Triesch:
A neural model for the adaptive control of saccadic eye movements. 2740-2747 - Ken Saito, Katsutoshi Saeki, Yoshifumi Sekine:
Synchronization of coupled pulse-type hardware neuron models for CPG model. 2748-2755 - Ruben Salazar-Mendoza, Guillermo Jimenez de la Cruz, José Antonio Ruz Hernández:
Neural networks versus Linear and Sequential Programming for Gas Lift Optimization in a two oil wells system. 2756-2763 - Iván Salgado, Isaac Chairez:
Discrete time recurrent neural network observer. 2764-2770 - Utku Salihoglu, Hugues Bersini, Yoko Yamaguchi, Colin Molter:
Online organization of chaotic cell assemblies. A model for the cognitive map formation? 2771-2777 - Edgar N. Sánchez, Alexander G. Loukianov, Riemann Ruiz:
Neural network identification of a double fed induction generator prototype. 2778-2783 - Laura Emmanuella A. Santana, Ligia Silva, Anne M. P. Canuto:
Feature selection in heterogeneous structure of ensembles: A genetic algorithm approach. 2784-2791 - Enock T. Santos, Luis E. Zárate, Elizabeth Marques Duarte Pereira:
Climatic data neural representation for large territorial extensions: Case study for the State of Minas Gerais. 2792-2797 - João Paulo Queiroz dos Santos, Francisco Chagas de Lima, Rafael Marrocos Magalhães, Jorge Dantas de Melo, Adrião Duarte Dória Neto:
A parallel hybrid implementation using genetic algorithm, GRASP and reinforcement learning. 2798-2803 - Wellington P. dos Santos, Francisco M. de Assis:
Optimization based on dialectics. 2804-2811 - Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka:
Nonlinear synaptic Neural Network for Maximum Flow problems. 2812-2818 - Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan:
Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm. 2819-2825 - Salam Sawadogo, Julien Brajard, Awa Niang, Cyril Lathuiliere, Michel Crépon, Sylvie Thiria:
Analysis of the Senegalo-Mauritanian upwelling by processing satellite remote sensing observations with topological maps. 2826-2832 - Stefan Schliebs, Michael Defoin-Platel, Susan P. Worner, Nikola K. Kasabov:
Quantum-inspired feature and parameter optimisation of evolving spiking neural networks with a case study from ecological modeling. 2833-2840 - Mauro Schneider, Pollyana Notargiacomo Mustaro, Clodoaldo Ap. M. Lima:
Automatic recognition of epileptic seizure in EEG via support vector machine and dimension fractal. 2841-2845 - Hans Georg Seedig, Ralph Grothmann, Thomas A. Runkler:
Forecasting of clustered time series with recurrent neural networks and a fuzzy clustering scheme. 2846-2853 - John Seiffertt:
An alpha derivative formulation of the Hamilton-Jacobi-Bellman equation Of Dynamic Programming. 2854-2859 - John Seiffertt, Samuel A. Mulder, Rohit Dua, Donald C. Wunsch:
Neural networks and Markov models for the iterated prisoner's dilemma. 2860-2866 - Basabdatta Sen Bhattacharya, Steve B. Furber:
Evaluating rank-order code performance using a biologically-derived retinal model. 2867-2874 - Christopher Sentelle, Georgios C. Anagnostopoulos, Michael Georgiopoulos:
An efficient active set method for SVM training without singular inner problems. 2875-2882 - Sohan Seth, José Carlos Príncipe:
On speeding up computation in information theoretic learning. 2883-2887 - Anthony Setiawan, Irena Koprinska, Vassilios G. Agelidis:
Very short-term electricity load demand forecasting using support vector regression. 2888-2894 - Jesse Sherwood, Reza Derakhshani:
On classifiability of wavelet features for EEG-based brain-computer interfaces. 2895-2902 - Ming-Guang Shi, Min Wu, De-Shuang Huang, Xueling Li:
Inferring Protein Interactions from Sequence using Support Vector Machine. 2903-2907 - Weiya Shi, Yue-Fei Guo, Xiangyang Xue:
Matrix-based Kernel Principal Component analysis for large-scale data set. 2908-2913 - Xiaohu Shi, Renchu Guan, Liupu Wang, Zhili Pei, Yanchun Liang:
An incremental affinity propagation algorithm and its applications for text clustering. 2914-2919 - Nils T. Siebel, Jonas Botel, Gerald Sommer:
Efficient neural network pruning during neuro-evolution. 2920-2927 - Michael Baskara L. A. Siek, Dimitri P. Solomatine:
Chaotic model with data assimilation using NARX network. 2928-2935 - Kelly P. Silva, Francisco de A. T. de Carvalho, Marc Csernel:
Clustering of symbolic data using the assignment-prototype algorithm. 2936-2942 - Renato R. da Silva, Cláudio Adriano Policastro, Roseli A. F. Romero:
Relational reinforcement learning applied to shared attention. 2943-2949 - Abhishek Singh, José Carlos Príncipe:
Using Correntropy as a cost function in linear adaptive filters. 2950-2955 - Koen Smets, Brigitte Verdonk, Elsa M. Jordaan:
Discovering novelty in spatio/temporal data using one-class support vector machines. 2956-2963 - Tomasz G. Smolinski, Astrid A. Prinz:
Computational intelligence in modeling of biological neurons: A case study of an invertebrate pacemaker neuron. 2964-2970 - Qing Song, Yeng Chai Soh, Lei Zhao:
A robust extended Elman backpropagation algorithm. 2971-2978 - Emilio Soria-Olivas, José David Martín-Guerrero, Juan Caravaca, Antonio J. Serrano, Marcelino Martínez-Sober, Rafael Magdalena, Juan Gómez, Magdalena Heras, Gines Sanz:
Survival prediction in patients undergoing ischemic cardiopathy. 2979-2982 - Georgina Stegmayer, Diego H. Milone, Laura Kamenetzky, Mariana G. Lopez, Fernando Carrari:
Neural network model for integration and visualization of introgressed genome and metabolite data. 2983-2989 - Luis A. Paz Suarez, Petia Georgieva, Sebastião Feyo de Azevedo:
Computationally efficient process control with neural networkbased predictive models. 2990-2997 - Changyin Sun, Chenghong Wang, Su Song, Yifan Wang:
A local approach of adaptive affinity propagation clustering for large scale data. 2998-3002 - Jiabao Sun, Jagdish Chandra Patra, Yongjin Li:
Functional Link Artificial Neural Network-based disease gene prediction. 3003-3010 - Ron Sun, Isaac Naveh:
Cognitive simulation of academic science. 3011-3017 - Tsung-Ying Sun, Ming-Chin Yang, Shang-Jeng Tsai, Jyun-Sian He:
Adaptive neural network controller for the flush material Belt Weigh Feeder. 3018-3023 - Peter Sussner, Estevão Laureano Esmi:
An introduction to morphological perceptrons with competitive learning. 3024-3031 - Douglas P. Sutton, Martin C. Carlisle, Traci A. Sarmiento, Leemon C. Baird III:
Partitioned neural networks. 3032-3037 - Zoltán Szabó, András Lörincz:
Controlled Complete ARMA Independent Process Analysis. 3038-3045 - Tarek M. Taha, Pavan Yalamanchili, Mohammad Ashraf Bhuiyan, Rommel Jalasutram, Sumod K. Mohan:
Parallelizing two classes of neuromorphic models on the Cell multicore architecture. 3046-3053 - Souhaib Ben Taieb, Gianluca Bontempi, Antti Sorjamaa, Amaury Lendasse:
Long-term prediction of time series by combining direct and MIMO strategies. 3054-3061 - Haruhiko Takase, Masaru Fujita, Hiroharu Kawanaka, Shinji Tsuruoka, Hidehiko Kita, Terumine Hayashi:
Obstacle to training SpikeProp networks - Cause of surges in training process -. 3062-3066 - Syogo Takeuchi, Takuya Kitamura, Shigeo Abe, Kazuhiro Fukui:
Subspace based linear programming support vector machines. 3067-3073 - Yuuki Taki, Hiroomi Hikawa, Seiji Miyoshi, Yutaka Maeda:
Hand sign recognition system based on hybrid network classifier. 3074-3081 - Tatiana Tambouratzis, Imre Pázsit:
General regression artificial neural networks for two-phase flow regime identification. 3082-3087 - Ying Tan, Chao Deng, Guangchen Ruan:
Concentration based feature construction approach for spam detection. 3088-3093 - Sirinart Tangruamsub, Manabu Tsuboyama, Aram Kawewong, Osamu Hasegawa:
Mobile robot vision-based navigation using self-organizing and incremental neural networks. 3094-3101 - John G. Taylor:
Can consciousness ever be modelled? 3102-3103 - John G. Taylor, Matthew Hartley:
Neural architectures for thinking, reasoning and being conscious. 3104-3110 - Shawn E. Taylor, Michael L. Bernard, Stephen J. Verzi, James D. Morrow, Craig M. Vineyard, Michael J. Healy, Thomas P. Caudell:
Temporal semantics: An Adaptive Resonance Theory approach. 3111-3117 - Jan-Phillip Tiesel, Anthony S. Maida:
Using parallel GPU architecture for simulation of planar I/F networks. 3118-3123 - Naoki Tominaga, Qiangfu Zhao:
Fast structural learning of distance-based neural networks. 3124-3131 - Hiroyuki Torikai, Toru Nishigami:
A novel chaotic spiking neuron and its paralleled spike encoding function. 3132-3139 - Edmondo Trentin, Antonino Freno:
Unsupervised nonparametric density estimation: A neural network approach. 3140-3147 - Rua-Huan Tsaih, Hsiou-Wei Lin:
Knowledge-internalization process for neural-networks practitioners. 3148-3155 - Nugraha P. Utama, Atsushi Takemoto, Katsuki Nakamura, Yasuharu Koike:
Single-trial EEG data to classify type and intensity of facial emotion from P100 and N170. 3156-3163 - Guido Vagliasindi, Paolo Arena, Andrea Murari:
CART data analysis to attain interpretability in a Fuzzy Logic Classifier. 3164-3171 - Julio J. Valdés, Antonio Pou:
Climatic variation of the structure of maximum daily temperatures in Spain: A combined statistical and computational intelligence approach. 3172-3179 - Kyriakos G. Vamvoudakis, Frank L. Lewis:
Online actor critic algorithm to solve the continuous-time infinite horizon optimal control problem. 3180-3187 - Vladimir Vapnik, Akshay Vashist, Natalya Pavlovitch:
Learning using hidden information (Learning with teacher). 3188-3195 - Roberto Antonio Vázquez, Humberto Sossa:
Morphological auto-associative memories applied to true-color image patterns. 3196-3203 - Naresh N. Vempala, Anthony S. Maida:
Modeling melody recognition using a sequence recognition neural network with meta-level processes. 3204-3211 - Mario Ventresca, Hamid R. Tizhoosh:
Improving gradient-based learning algorithms for large scale feedforward networks. 3212-3219 - Brijesh K. Verma:
Impact of multiple clusters on neural classification of ROIs in digital mammograms. 3220-3223 - Draguna L. Vrabie, Frank L. Lewis:
Generalized Policy Iteration for continuous-time systems. 3224-3231 - Neil Wachowski, Mahmood R. Azimi-Sadjadi:
A likelihood-based decision feedback system for multi-aspect classification of underwater targets. 3232-3239 - Jinhui Wang, Wuchen Wu, Na Gong, Lei Zuo, Ligang Hou, Shuqin Geng, Wang Zhang, Daming Gao:
Switching and leakage power modeling for multiple-supply dynamic gate with delay constraining based on wavelet neural networks. 3240-3243 - Lili Wang, Wenlian Lu, Tianping Chen:
Delayed neural networks with multistable almost periodic solutions. 3244-3250 - Shijun Wang, Ronald M. Summers, Changshui Zhang:
A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. 3251-3258 - Shuo Wang, Ke Tang, Xin Yao:
Diversity exploration and negative correlation learning on imbalanced data sets. 3259-3266 - Xiaoxia Wang, Peter Tiño, Mark A. Fardal, Somak Raychaudhury, Arif Babul:
Fast parzen window density estimator. 3267-3274 - Yiwen Wang, Justin C. Sanchez, José Carlos Príncipe:
Selecting neural subsets for kinematics decoding by information theoretical analysis in motor Brain Machine Interfaces. 3275-3280 - Yu-Chiang Frank Wang, David P. Casasent:
A support vector hierarchical method for multi-class classification and rejection. 3281-3288 - Zhisong Wang, Nikos K. Logothetis, Hualou Liang:
Percept-related cortical induced activity during bistable perception. 3289-3296 - Zhuang Wang, Slobodan Vucetic:
Tighter Perceptron with improved dual use of cached data for model representation and validation. 3297-3302 - Shesharao M. Wanjerkhede, Raju S. Bapi:
A Computational study of pre-synaptic re-uptake of dopamine on phosphorylation of DARPP-32. 3303-3310 - Naoki Watanabe, Kazuhiko Fukami, Hitoki Imamura, Katsuki Sonoda, Soichiro Yamane:
Flood forecasting technology with radar-derived rainfall data using Genetic Programming. 3311-3318 - Cornelius Weber, Jochen Triesch:
Goal-directed feature learning. 3319-3326 - Daniel Weiler, Florian Röhrbein, Julian Eggert:
Level-set segmentation with contour based object representation. 3327-3334 - Richard L. Welch, Stephen M. Ruffing, Ganesh K. Venayagamoorthy:
Comparison of feedforward and feedback neural network architectures for short term wind speed prediction. 3335-3340 - Qinghua Wen, Zehong Yang, Yixu Song, Peifa Jia:
Intelligent stock trading system based on SVM algorithm and oscillation box prediction. 3341-3347 - Juyang Weng, Yi Shen, Mingmin Chi, Xiangyang Xue:
Temporal context as cortical spatial codes. 3348-3355 - Paul J. Werbos:
Putting more brain-like intelligence into the electric power grid: What we need and how to do it. 3356-3359 - Timothy Whitacre, Xiao-Hua Yu:
A neural network receiver for EM-MWD baseband communication systems. 3360-3364 - Bernard Widrow, Mozziyar Etemadi:
Cognitive memory: Human and machine. 3365-3372 - Peter Wittek, Chew Lim Tan:
A kernel-based feature weighting for text classification. 3373-3379 - Donald C. Wunsch:
ART properties of interest in engineering applications. 3380-3383 - Songyun Xie, Rong Guo, Ningfei Li, Ge Wang, Haitao Zhao:
Brain fMRI processing and classification based on combination of PCA and SVM. 3384-3389 - Rui Xu, Louis du Plessis, Steven B. Damelin, Michael Sears, Donald C. Wunsch:
Analysis of hyperspectral data with diffusion maps and Fuzzy ART. 3390-3397 - Rui Xu, Jie Xu, Donald C. Wunsch:
Using default ARTMAP for cancer classification with MicroRNA expression signatures. 3398-3404 - Xu Xu, Yanchun Liang:
Effects of the short-cut connection on the dynamics of a delayed ring neural network. 3405-3411 - Peyman Yadmellat, Heidar Ali Talebi:
An observer-based neural networks control scheme for nonlinear systems. 3412-3419 - Weizhong Yan, Hai Qiu, Ya Xue:
Gaussian process for long-term time-series forecasting. 3420-3427 - Jie Yang, Abdesselam Bouzerdoum, Son Lam Phung:
A Neural Network pruning approach based on Compressive Sampling. 3428-3435 - Yi Yang, Ronald G. Harley, Deepak Divan, Thomas G. Habetler:
Overhead conductor thermal dynamics identification by using Echo State Networks. 3436-3443 - Yuichi Yano, Yuko Osana:
Chaotic Complex-Valued Bidirectional Associative Memory. 3444-3449 - Chun Wan Yeung, Frank H. F. Leung, Kit Yan Chan, Sai-Ho Ling:
An integrated approach of particle swarm optimization and support vector machine for gene signature selection and cancer prediction. 3450-3456 - Arthur Steven Younger, Emmett Redd:
Fixed-Weight learning Neural Networks on Optical Hardware. 3457-3463 - Wen Yu, Xiaoou Li:
Neural sliding mode control with finite time convergence. 3464-3470 - Jiangye Yuan, DeLiang Wang, Bo Wu, Lin Yan, Rongxing Li:
Automatic road extraction from satellite imagery using LEGION networks. 3471-3476 - Yuan Yuan, Chenhui Yang, Jennie Si:
An advanced spike detection and sorting system. 3477-3484 - Zarita Zainuddin, Pauline Ong:
Improved wavelet neural network for early diagnosis of cancer patients using microarray gene expression data. 3485-3492 - Anahita Zarei, Michael Hairfield, Seyedsalahadin Mirsaeidghazi:
A Novel neuro-fuzzy assessment index for orthodontics. 3493-3497 - Shuqing Zeng, Yanhua Chen:
Joint tracking-registration with linear complexity: An application to range sensors. 3498-3503 - Zhigang Zeng, Jun Wang:
Analysis and design of associative memories based on cellular neural networks with space-invariant cloning templates. 3504-3511 - Zhigang Zeng, Jun Wang:
Analysis and synthesis of associative memories based on Brain-State-in-a-Box neural networks. 3512-3519 - Haizhang Zhang, Yuesheng Xu, Jun Zhang:
Reproducing kernel Banach spaces for machine learning. 3520-3527 - Jun Zhang, Jinglu Hu:
An automatic segmentation technique for color images based on SOFM neural network. 3528-3533 - Wen-Ran Zhang:
YinYang bipolar dynamic logic (BDL) and equilibrium-based computational neuroscience. 3534-3541 - Chun-Hou Zheng, Ping Zhang, Lei Zhang, Xinxin Liu, Ju Han:
Gene expression data classification based on non-negative matrix factorization. 3542-3547 - Weicai Zhong, Bijan Raahemi, Jing Liu:
Learning on Class Imbalanced Data to Classify Peer-to-Peer Applications in IP Traffic using Resampling Techniques. 3548-3554 - Wei Zhou, Jacek M. Zurada:
A class of discrete-time recurrent neural networks with multivalued neurons. 3555-3558 - Yuhua Zhu, Xiuwen Liu, Washington Mio:
Image retrieval based on intrinsic spectral histogram representation. 3559-3564 - Yuhua Zhu, Washington Mio, Xiuwen Liu:
Optimal dimension reduction for image retrieval with correlation metrics. 3565-3570
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