12. PKDD / 19. ECML 2008: Antwerp, Belgium

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 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 Mohd 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