Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II

ISBN: 978-3-642-04173-0 (Print) 978-3-642-04174-7 (Online)

Table of contents (57 chapters)

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  1. Front Matter

    Pages -

  2. Regular Papers

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      Pages 1-14

      Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines

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      Pages 15-30

      A Convex Method for Locating Regions of Interest with Multi-instance Learning

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      Pages 31-46

      Active Learning for Reward Estimation in Inverse Reinforcement Learning

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      Pages 47-62

      Simulated Iterative Classification A New Learning Procedure for Graph Labeling

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      Pages 63-78

      Graph-Based Discrete Differential Geometry for Critical Instance Filtering

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      Pages 79-94

      Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams

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      Pages 95-110

      Neural Networks for State Evaluation in General Game Playing

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      Pages 111-127

      Learning to Disambiguate Search Queries from Short Sessions

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      Pages 128-143

      Dynamic Factor Graphs for Time Series Modeling

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      Pages 144-159

      On Feature Selection, Bias-Variance, and Bagging

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      Pages 160-175

      Efficient Pruning Schemes for Distance-Based Outlier Detection

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      Pages 176-188

      The Sensitivity of Latent Dirichlet Allocation for Information Retrieval

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      Pages 189-204

      Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification

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      Pages 205-220

      The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases

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      Pages 221-237

      On Discriminative Parameter Learning of Bayesian Network Classifiers

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      Pages 238-253

      Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint

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      Pages 254-269

      Classifier Chains for Multi-label Classification

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      Pages 270-285

      Dependency Tree Kernels for Relation Extraction from Natural Language Text

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      Pages 286-301

      Statistical Relational Learning with Formal Ontologies

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      Pages 302-317

      Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm

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