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ORCIDICMLA 2006: Orlando, Florida, USA
- M. Arif Wani, Tao Li, Lukasz A. Kurgan, Jieping Ye, Ying Liu:
The Fifth International Conference on Machine Learning and Applications, ICMLA 2006, Orlando, Florida, USA, 14-16 December 2006. IEEE Computer Society 2006, ISBN 0-7695-2735-3
Session 1: Inductive and Machine Learning Classifiers
- Siril Yella, Narendra Kumar Gupta, Marc Dougherty:
Condition Monitoring Using Pattern Recognition Techniques on Data from Acoustic Emissions. 3-9 - João Henrique Burckas Ribeiro, Ronaldo Fumio Hashimoto
:
A New Machine Learning Technique Based on Straight Line Segments. 10-16 - Sergiy Fefilatyev, Volha Smarodzinava, Lawrence O. Hall, Dmitry B. Goldgof:
Horizon Detection Using Machine Learning Techniques. 17-21 - Ulf Johansson, Tuve Löfström, Rikard König, Cecilia Sönströd, Lars Niklasson:
Rule Extraction from Opaque Models-- A Slightly Different Perspective. 22-27 - Bai-ling Zhang:
Off-Line Signature Recognition and Verification by Kernel Principal Component Self-Regression. 28-33 - Zengchang Qin:
Naive Bayes Classification Given Probability Estimation Trees. 34-42
Session 2: Learning
- Sylvain Hallé:
An Efficient Heuristic for Discovering Multiple Ill-Defined Attributes in Datasets. 43-47 - Cristina Boicu, Gheorghe Tecuci, Mihai Boicu:
Lazy Rule Refinement by Knowledge-Based Agents. 48-54 - Javed A. Aslam, Sergey Bratus, Virgiliu Pavlu:
Semi-supervised Data Organization for Interactive Anomaly Analysis. 55-62 - Abdelhamid Bouchachia:
Incremental Learning By Decomposition. 63-68 - Zengchang Qin:
Market Mechanism Designs with Heterogeneous Trading Agents. 69-76
Session 3: Support Vector Machines
- Raquel A. Romano, Cecilia R. Aragon, Chris H. Q. Ding:
Supernova Recognition Using Support Vector Machines. 77-82 - Lifeng Wang, Xiaotong Shen, Yuan F. Zheng:
On L_1-Norm Multi-class Support Vector Machines. 83-88 - Catarina Silva, Bernardete Ribeiro:
Two-Level Hierarchical Hybrid SVM-RVM Classification Model. 89-94 - Thomas Burger, Oya Aran, Alice Caplier:
Modeling Hesitation and Conflict: A Belief-Based Approach for Multi-class Problems. 95-100 - Mohammad Reza Daliri, Vincent Torre:
Shape Recognition and Retrieval Using String of Symbols. 101-108
Session 4: Applications
- Costin Barbu, Maura C. Lohrenz, Geary Layne:
Intelligent Electronic Navigational Aids: A New Approach. 109-116 - Iman Shames, Nima Najmaei, Mohammad Zamani, Ali Akbar Safavi:
Application of Reinforcement Learning in Development of a New Adaptive Intelligent Traffic Shaper. 117-122 - Alexander Brodsky, Carlotta Domeniconi, David Etter:
Regression Databases: Probabilistic Querying Using Sparse Learning Sets. 123-128 - Ulf Johansson, Cecilia Sönströd, Lars Niklasson:
Explaining Winning Poker--A Data Mining Approach. 129-134 - Jason Van Hulse, Taghi M. Khoshgoftaar, Chris Seiffert:
A Comparison of Software Fault Imputation Procedures. 135-142 - Huaiguo Fu:
Formal Concept Analysis for Digital Ecosystem. 143-148 - Seref Sagiroglu, Nihat Yilmaz, M. Arif Wani:
Web Robot Learning Powered by Bluetooth Communication System. 149-156
Session 5: Applications in Medicine, Bioinformatics, and Computational Biology
- Yi Cao, Kim Leng Poh:
An Accurate and Robust Missing Value Estimation for Microarray Data: Least Absolute Deviation Imputation. 157-161 - Sung-Soo Kim, Chan-Hee Lee, Keon-Myung Lee, Sung-Duk Lee:
A New Scheme for Nucleotide Sequence Signature Extraction. 162-167 - Elena Marchiori, Walter Pirovano, Jaap Heringa, K. Anton Feenstra:
A Feature Selection Algorithm for Detecting Subtype Specific Functional Sites from Protein Sequences for Smad Receptor Binding. 168-173 - Xin C. Anders, Chengcui Zhang, Hong Yuan:
Automatic Intravital Video Mining of Rolling and Adhering Leukocytes. 174-179 - Lukasz A. Kurgan, Mandana Rahbari, Leila Homaeian:
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins. 180-186 - Tae-Hoon Chung, Marcel Brun, Seungchan Kim:
Quantization of Global Gene Expression Data. 187-192 - Ramasubbu Venkatesh, Charles Rowland, Hongjin Huang, Olivia T. Abar, John Sninsky:
Robust Model Selection Using Cross Validation: A Simple Iterative Technique for Developing Robust Gene Signatures in Biomedical Genomics Applications. 193-198 - Roger A. Craig, Li Liao:
Prediction of Antisense Oligonucleotide Efficacy Using Local and Global Structure Information with Support Vector Machines. 199-204 - Tapan Patel, Manoj Pillay, Rahul Jawa, Li Liao:
Information of Binding Sites Improves Prediction of Protein-Protein Interaction. 205-212
Session 6: Evolutionary Methods and Neural Networks
- Rémi Gaudin, Nicolas Nicoloyannis:
An Adaptable Time Warping Distance for Time Series Learning. 213-218 - Xin Li, Chi Zhou, Weimin Xiao, Peter C. Nelson:
Introducing Emergent Loose Modules into the Learning Process of a Linear Genetic Programming System. 219-224 - Nigar Sen Köktas, Nese Yalabik, Günes Yavuzer:
Ensemble Classifiers for Medical Diagnosis of Knee Osteoarthritis Using Gait Data. 225-230 - Necla Özkaya, Seref Sagiroglu, M. Arif Wani:
An Intelligent Automatic Fingerprint Recognition System Design. 231-238
Session 7: Feature Extraction, Selection and Clustering
- Shawn Martin:
An Approximate Version of Kernel PCA. 239-244 - Sampath Deegalla, Henrik Boström:
Reducing High-Dimensional Data by Principal Component Analysis vs. Random Projection for Nearest Neighbor Classification. 245-250 - Bing Quan Huang, Mohand Tahar Kechadi:
A Fast Feature Selection Model for Online Handwriting Symbol Recognition. 251-257 - Joel W. Reed, Yu Jiao, Thomas E. Potok, Brian A. Klump, Mark T. Elmore, Ali R. Hurson:
TF-ICF: A New Term Weighting Scheme for Clustering Dynamic Data Streams. 258-263 - Ming Zhong, Tong Sun:
A Printing Workflow Recommendation Tool--Exploiting Correlations between Highly Sparse Case Logs. 264-269 - Kristine Daniels, Christophe G. Giraud-Carrier:
Learning the Threshold in Hierarchical Agglomerative Clustering. 270-278
Session 8: Text and Multimedia Learning
- Jinlin Chen, Ping Zhong, Terry Cook:
Detecting Web Content Function Using Generalized Hidden Markov Model. 279-284 - Chengliang Zhang, Shenghuo Zhu, Yihong Gong:
Trend Analysis for Large Document Streams. 285-295 - Qi Li, Chandra Kambhamettu:
Identity Representability of Facial Expressions: An Evaluation Using Feature Pixel Distributions. 296-301
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