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ORCID12th PKDD / 19th ECML 2008: Antwerp, Belgium
- Walter Daelemans, Bart Goethals
, Katharina Morik:
Machine Learning and Knowledge Discovery in Databases, European Conference, ECML/PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II. Lecture Notes in Computer Science 5212, Springer 2008, ISBN 978-3-540-87480-5
Regular Papers
- Dennis Leman, Ad Feelders, Arno J. Knobbe:
Exceptional Model Mining. 1-16 - Wei-Hao Lin, Eric P. Xing, Alexander G. Hauptmann:
A Joint Topic and Perspective Model for Ideological Discourse. 17-32 - Guimei Liu, Limsoon Wong:
Effective Pruning Techniques for Mining Quasi-Cliques. 33-49 - Eneldo Loza Mencía, Johannes Fürnkranz:
Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain. 50-65 - Francisco S. Melo, Manuel Lopes:
Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs. 66-81 - Tetsuro Morimura, Eiji Uchibe, Junichiro Yoshimoto, Kenji Doya:
A New Natural Policy Gradient by Stationary Distribution Metric. 82-97 - Keita Imada, Katsuhiko Nakamura:
Towards Machine Learning of Grammars and Compilers of Programming Languages. 98-112 - Nam Nguyen, Rich Caruana:
Improving Classification with Pairwise Constraints: A Margin-Based Approach. 113-124 - Nam Nguyen, Yunsong Guo:
Metric Learning: A Support Vector Approach. 125-136 - XuanLong Nguyen, Ling Huang, Anthony D. Joseph:
Support Vector Machines, Data Reduction, and Approximate Kernel Matrices. 137-153 - Richard Nock, Panu Luosto, Jyrki Kivinen:
Mixed Bregman Clustering with Approximation Guarantees. 154-169 - Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos, Philip S. Yu:
Hierarchical, Parameter-Free Community Discovery. 170-187 - Adriana Pietramala, Veronica L. Policicchio, Pasquale Rullo, Inderbir Sidhu:
A Genetic Algorithm for Text Classification Rule Induction. 188-203 - Christian Plagemann, Kristian Kersting, Wolfram Burgard:
Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness. 204-219 - Ulrich Rückert, Stefan Kramer:
Kernel-Based Inductive Transfer. 220-233 - Thomas Rückstieß, Martin Felder, Jürgen Schmidhuber:
State-Dependent Exploration for Policy Gradient Methods. 234-249 - Shyamsundar Rajaram, Martin Scholz:
Client-Friendly Classification over Random Hyperplane Hashes. 250-265 - Frédéric Ratle, Jason Weston, Matthew L. Miller:
Large-Scale Clustering through Functional Embedding. 266-281 - Pedro Pereira Rodrigues, João Gama, Luís M. B. Lopes:
Clustering Distributed Sensor Data Streams. 282-297 - Sergio Rodrigues de Morais, Alex Aussem:
A Novel Scalable and Data Efficient Feature Subset Selection Algorithm. 298-312 - Yvan Saeys, Thomas Abeel, Yves Van de Peer:
Robust Feature Selection Using Ensemble Feature Selection Techniques. 313-325 - Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Effective Visualization of Information Diffusion Process over Complex Networks. 326-341 - Xiaoxiao Shi, Wei Fan, Jiangtao Ren:
Actively Transfer Domain Knowledge. 342-357 - Ajit Paul Singh, Geoffrey J. Gordon:
A Unified View of Matrix Factorization Models. 358-373 - Yangqiu Song, WenYen Chen, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang:
Parallel Spectral Clustering. 374-389 - Andreas P. Streich, Joachim M. Buhmann:
Classification of Multi-labeled Data: A Generative Approach. 390-405 - Masashi Sugiyama, Shinichi Nakajima:
Pool-Based Agnostic Experiment Design in Linear Regression. 406-422 - Xiaohai Sun:
Distribution-Free Learning of Bayesian Network Structure. 423-439 - Xiaohai Sun:
Assessing Nonlinear Granger Causality from Multivariate Time Series. 440-455 - Jun Sun, Zhiyong Shen, Hui Li, Yi-Dong Shen:
Clustering Via Local Regression. 456-471 - Nikolaj Tatti, Hannes Heikinheimo:
Decomposable Families of Itemsets. 472-487 - Matthew E. Taylor, Nicholas K. Jong, Peter Stone:
Transferring Instances for Model-Based Reinforcement Learning. 488-505 - Ingo Thon, Niels Landwehr, Luc De Raedt:
A Simple Model for Sequences of Relational State Descriptions. 506-521 - Hamed Valizadegan, Rong Jin, Anil K. Jain:
Semi-Supervised Boosting for Multi-Class Classification. 522-537 - Xinhao Wang, Jiazhong Nie, Dingsheng Luo, Xihong Wu:
A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis. 538-549 - Zheng Wang, Yangqiu Song, Changshui Zhang:
Transferred Dimensionality Reduction. 550-565 - Xiaoxia Wang, Peter Tiño, Mark A. Fardal:
Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model. 566-581 - Sholom M. Weiss, Nitin Indurkhya:
Estimating Sales Opportunity Using Similarity-Based Methods. 582-596 - Michael Wynkoop, Thomas G. Dietterich:
Learning MDP Action Models Via Discrete Mixture Trees. 597-612 - Jing Xu, Christian R. Shelton:
Continuous Time Bayesian Networks for Host Level Network Intrusion Detection. 613-627 - Xiangliang Zhang, Cyril Furtlehner, Michèle Sebag:
Data Streaming with Affinity Propagation. 628-643 - Yu Zhang, Dit-Yan Yeung:
Semi-supervised Discriminant Analysis Via CCCP. 644-659
Demo Papers
- Rocío Alaíz-Rodríguez, Nathalie Japkowicz, Peter E. Tischer:
A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains. 660-665 - Ira Assent, Emmanuel Müller, Ralph Krieger, Timm Jansen, Thomas Seidl:
Pleiades: Subspace Clustering and Evaluation. 666-671 - Laurent Boyer, Yann Esposito, Amaury Habrard, José Oncina, Marc Sebban:
SEDiL: Software for Edit Distance Learning. 672-677 - Evangelos E. Kotsifakos, Irene Ntoutsi, Yannis Vrahoritis, Yannis Theodoridis:
Monitoring Patterns through an Integrated Management and Mining Tool. 678-683 - Wan Maseri Binti Wan Mohd, Abdullah Embong, Jasni Mohamad Zain:
A Knowledge-Based Digital Dashboard for Higher Learning Institutions. 684-689 - Jörg Wicker, Lothar Richter, Kristina Kessler, Stefan Kramer:
SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model. 690-694
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