13. PKDD / 20. ECML 2009: Bled, Slovenia

Regular Papers

• Sangkyun Lee, Stephen J. Wright:
  Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines. 1-14
  
• Yu-Feng Li, James T. Kwok, Ivor W. Tsang, Zhi-Hua Zhou:
  A Convex Method for Locating Regions of Interest with Multi-instance Learning. 15-30
  
• Manuel Lopes, Francisco S. Melo, Luis Montesano:
  Active Learning for Reward Estimation in Inverse Reinforcement Learning. 31-46
  
• Francis Maes, Stéphane Peters, Ludovic Denoyer, Patrick Gallinari:
  Simulated Iterative Classification A New Learning Procedure for Graph Labeling. 47-62
  
• Elena Marchiori:
  Graph-Based Discrete Differential Geometry for Critical Instance Filtering. 63-78
  
• Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
  Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. 79-94
  
• Daniel Michulke, Michael Thielscher:
  Neural Networks for State Evaluation in General Game Playing. 95-110
  
• Lilyana Mihalkova, Raymond J. Mooney:
  Learning to Disambiguate Search Queries from Short Sessions. 111-127
  
• Piotr W. Mirowski, Yann LeCun:
  Dynamic Factor Graphs for Time Series Modeling. 128-143
  
• M. Arthur Munson, Rich Caruana:
  On Feature Selection, Bias-Variance, and Bagging. 144-159
  
• Nguyen Hoang Vu, Vivekanand Gopalkrishnan:
  Efficient Pruning Schemes for Distance-Based Outlier Detection. 160-175
  
• Laurence A. F. Park, Kotagiri Ramamohanarao:
  The Sensitivity of Latent Dirichlet Allocation for Information Retrieval. 176-188
  
• Sang-Hyeun Park, Johannes Fürnkranz:
  Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification. 189-204
  
• Frédéric Pennerath, Amedeo Napoli:
  The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases. 205-220
  
• Franz Pernkopf, Michael Wohlmayr:
  On Discriminative Parameter Learning of Bayesian Network Classifiers. 221-237
  
• Feng Qian, Qinming He, Jiangfeng He:
  Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint. 238-253
  
• Jesse Read, Bernhard Pfahringer, Geoffrey Holmes, Eibe Frank:
  Classifier Chains for Multi-label Classification. 254-269
  
• Frank Reichartz, Hannes Korte, Gerhard Paass:
  Dependency Tree Kernels for Relation Extraction from Natural Language Text. 270-285
  
• Achim Rettinger, Matthias Nickles, Volker Tresp:
  Statistical Relational Learning with Formal Ontologies. 286-301
  
• Philippe Rolet, Michèle Sebag, Olivier Teytaud:
  Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm. 302-317
  
• Ulrich Rückert:
  Capacity Control for Partially Ordered Feature Sets. 318-333
  
• Yingpeng Sang, Hong Shen, Hui Tian:
  Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known. 334-349
  
• Benyah Shaparenko, Thorsten Joachims:
  Identifying the Original Contribution of a Document via Language Modeling. 350-365
  
• Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren:
  Relaxed Transfer of Different Classes via Spectral Partition. 366-381
  
• Arno Siebes, Diyah Puspitaningrum:
  Mining Databases to Mine Queries Faster. 382-397
  
• Kelvin Sim, Vivekanand Gopalkrishnan, Hon Nian Chua, See-Kiong Ng:
  MACs: Multi-Attribute Co-clusters with High Correlation Information. 398-413
  
• Sameer Singh, Karl Schultz, Andrew McCallum:
  Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs. 414-429
  
• István Bíró, Jácint Szabó:
  Latent Dirichlet Allocation for Automatic Document Categorization. 430-441
  
• Partha Pratim Talukdar, Koby Crammer:
  New Regularized Algorithms for Transductive Learning. 442-457
  
• Songbo Tan, Gaowei Wu, Xueqi Cheng:
  Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement. 458-472
  
• Tsuyoshi Ueno, Shin-ichi Maeda, Motoaki Kawanabe, Shin Ishii:
  Optimal Online Learning Procedures for Model-Free Policy Evaluation. 473-488
  
• Gabriel Wachman, Roni Khardon, Pavlos Protopapas, Charles R. Alcock:
  Kernels for Periodic Time Series Arising in Astronomy. 489-505
  
• Dingding Wang, Chris H. Q. Ding, Tao Li:
  K-Subspace Clustering. 506-521
  
• Pu Wang, Carlotta Domeniconi, Kathryn B. Laskey:
  Latent Dirichlet Bayesian Co-Clustering. 522-537
  
• Shuang-Hong Yang, Hongyuan Zha, Shaohua Kevin Zhou, Bao-Gang Hu:
  Variational Graph Embedding for Globally and Locally Consistent Feature Extraction. 538-553
  
• Yiming Yang, Abhay Harpale, Subramaniam Ganapathy:
  Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling. 554-569
  
• Kun Zhang, Aapo Hyvärinen:
  Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective. 570-585
  
• Yan-Ming Zhang, Xinwen Hou, Shiming Xiang, Cheng-Lin Liu:
  Subspace Regularization: A New Semi-supervised Learning Method. 586-601
  
• Yu Zhang, Dit-Yan Yeung:
  Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension. 602-616
  
• Yu Zhang, Dit-Yan Yeung:
  Semi-Supervised Multi-Task Regression. 617-631
  
• Zhihua Zhang, Guang Dai, Michael I. Jordan:
  A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis. 632-647
  
• Yanchang Zhao, Huaifeng Zhang, Shanshan Wu, Jian Pei, Longbing Cao, Chengqi Zhang, Hans Bohlscheid:
  Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns. 648-663
  
• Sami Zhioua, Doina Precup, François Laviolette, Josée Desharnais:
  Learning the Difference between Partially Observable Dynamical Systems. 664-677
  
• ErHeng Zhong, Wei Fan, Jing Peng, Olivier Verscheure, Jiangtao Ren:
  Universal Learning over Related Distributions and Adaptive Graph Transduction. 678-693
  
• Alexander Zien, Nicole Krämer, Sören Sonnenburg, Gunnar Rätsch:
  The Feature Importance Ranking Measure. 694-709
  

Demo Papers

• Pierpaolo Basile, Marco Degemmis, Pasquale Lops, Giovanni Semeraro:
  OTTHO: On the Tip of My THOught. 710-713
  
• Chad M. Cumby:
  Protecting Sensitive Topics in Text Documents with PROTEXTOR. 714-717
  
• Lorand Dali, Delia Rusu, Dunja Mladenic:
  Enhanced Web Page Content Visualization with Firefox. 718-721
  
• Luigi Di Caro, Alejandro Jaimes:
  ClusTR: Exploring Multivariate Cluster Correlations and Topic Trends. 722-725
  
• Miha Grcar, Dunja Mladenic:
  Visual OntoBridge: Semi-automatic Semantic Annotation Software. 726-729
  
• Miha Grcar, Dunja Mladenic, Peter Kese:
  Semi-automatic Categorization of Videos on VideoLectures.net. 730-733
  
• Stéphanie Jacquemont, François Jacquenet, Marc Sebban:
  Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype. 734-737
  
• Nattiya Kanhabua, Kjetil Nørvåg:
  Using Temporal Language Models for Document Dating. 738-741
  
• George Tsatsaronis, Iraklis Varlamis, Michalis Vazirgiannis, Kjetil Nørvåg:
  Omiotis: A Thesaurus-Based Measure of Text Relatedness. 742-745
  
• Marco Turchi, Ilias N. Flaounas, Omar Ali, Tijl De Bie, Tristan Snowsill, Nello Cristianini:
  Found in Translation. 746-749
  
• Joaquin Vanschoren, Hendrik Blockeel:
  A Community-Based Platform for Machine Learning Experimentation. 750-754
  
• Qi Ye, Bin Wu, Lijun Suo, Tian Zhu, Chao Han, Bai Wang:
  TeleComVis: Exploring Temporal Communities in Telecom Networks. 755-758
  

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