Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part I

Front Matter....Pages -
Theory-Practice Interplay in Machine Learning – Emerging Theoretical Challenges....Pages 1-1
Are We There Yet?....Pages 2-2
The Growing Semantic Web....Pages 3-3
Privacy in Web Search Query Log Mining....Pages 4-4
Highly Multilingual News Analysis Applications....Pages 5-5
Combining Instance-Based Learning and Logistic Regression for Multilabel Classification....Pages 6-6
On Structured Output Training: Hard Cases and an Efficient Alternative....Pages 7-7
Sparse Kernel SVMs via Cutting-Plane Training....Pages 8-8
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation....Pages 9-9
A Self-training Approach to Cost Sensitive Uncertainty Sampling....Pages 10-10
Learning Multi-linear Representations of Distributions for Efficient Inference....Pages 11-11
Cost-Sensitive Learning Based on Bregman Divergences....Pages 12-12
RTG: A Recursive Realistic Graph Generator Using Random Typing....Pages 13-28
Taxonomy-Driven Lumping for Sequence Mining....Pages 29-29
On Subgroup Discovery in Numerical Domains....Pages 30-30
Harnessing the Strengths of Anytime Algorithms for Constant Data Streams....Pages 31-31
Identifying the Components....Pages 32-32
Two-Way Analysis of High-Dimensional Collinear Data....Pages 33-33
A Fast Ensemble Pruning Algorithm Based on Pattern Mining Process....Pages 34-34
Evaluation Measures for Multi-class Subgroup Discovery....Pages 35-50
Empirical Study of Relational Learning Algorithms in the Phase Transition Framework....Pages 51-66
Topic Significance Ranking of LDA Generative Models....Pages 67-82
Communication-Efficient Classification in P2P Networks....Pages 83-98
A Generalization of Forward-Backward Algorithm....Pages 99-114
Mining Graph Evolution Rules....Pages 115-130
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks....Pages 131-146
Adaptive XML Tree Classification on Evolving Data Streams....Pages 147-162
A Condensed Representation of Itemsets for Analyzing Their Evolution over Time....Pages 163-178
Non-redundant Subgroup Discovery Using a Closure System....Pages 179-194
PLSI: The True Fisher Kernel and beyond....Pages 195-210
Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization....Pages 211-226
One Graph Is Worth a Thousand Logs: Uncovering Hidden Structures in Massive System Event Logs....Pages 227-243
Conference Mining via Generalized Topic Modeling....Pages 244-259
Within-Network Classification Using Local Structure Similarity....Pages 260-275
Multi-task Feature Selection Using the Multiple Inclusion Criterion (MIC)....Pages 276-289
Kernel Polytope Faces Pursuit....Pages 290-301
Soft Margin Trees....Pages 302-314
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs....Pages 315-329
Margin and Radius Based Multiple Kernel Learning....Pages 330-343
Inference and Validation of Networks....Pages 344-358
Binary Decomposition Methods for Multipartite Ranking....Pages 359-374
Leveraging Higher Order Dependencies between Features for Text Classification....Pages 375-390
Syntactic Structural Kernels for Natural Language Interfaces to Databases....Pages 391-406
Active and Semi-supervised Data Domain Description....Pages 407-422
A Matrix Factorization Approach for Integrating Multiple Data Views....Pages 423-438
Transductive Classification via Dual Regularization....Pages 439-454
Stable and Accurate Feature Selection....Pages 455-468
Efficient Sample Reuse in EM-Based Policy Search....Pages 469-484
Applying Electromagnetic Field Theory Concepts to Clustering with Constraints....Pages 485-500
An ℓ 1 Regularization Framework for Optimal Rule Combination....Pages 501-516
A Generic Approach to Topic Models....Pages 517-532
Feature Selection by Transfer Learning with Linear Regularized Models....Pages 533-547
Integrating Logical Reasoning and Probabilistic Chain Graphs....Pages 548-563
Max-Margin Weight Learning for Markov Logic Networks....Pages 564-579
Parameter-Free Hierarchical Co-clustering by n -Ary Splits....Pages 580-595
Mining Peculiar Compositions of Frequent Substrings from Sparse Text Data Using Background Texts....Pages 596-611
Minimum Free Energy Principle for Constraint-Based Learning Bayesian Networks....Pages 612-627
Kernel-Based Copula Processes....Pages 628-643
Compositional Models for Reinforcement Learning....Pages 644-659
Feature Selection for Value Function Approximation Using Bayesian Model Selection....Pages 660-675
Learning Preferences with Hidden Common Cause Relations....Pages 676-691
Feature Selection for Density Level-Sets....Pages 692-704
Efficient Multi-start Strategies for Local Search Algorithms....Pages 705-720
Considering Unseen States as Impossible in Factored Reinforcement Learning....Pages 721-735
Relevance Grounding for Planning in Relational Domains....Pages 736-751
Back Matter....Pages -