Regular Papers

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  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

last updated on Mon May 20 02:32:17 2013 by the dblp team
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