Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010, Proceedings, Part I

Front Matter....Pages -
Mining Billion-Node Graphs: Patterns, Generators and Tools....Pages 1-1
Structure Is Informative: On Mining Structured Information Networks....Pages 2-2
Intelligent Interaction with the Real World....Pages 3-3
Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational Biology....Pages 4-4
Hierarchical Learning Machines and Neuroscience of Visual Cortex....Pages 5-5
Formal Theory of Fun and Creativity....Pages 6-6
Porting Decision Tree Algorithms to Multicore Using FastFlow....Pages 7-23
On Classifying Drifting Concepts in P2P Networks....Pages 24-39
A Unified Approach to Active Dual Supervision for Labeling Features and Examples....Pages 40-55
Vector Field Learning via Spectral Filtering....Pages 56-71
Weighted Symbols-Based Edit Distance for String-Structured Image Classification....Pages 72-86
A Concise Representation of Association Rules Using Minimal Predictive Rules....Pages 87-102
Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs....Pages 103-118
Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks....Pages 119-134
Leveraging Bagging for Evolving Data Streams....Pages 135-150
ITCH: Information-Theoretic Cluster Hierarchies....Pages 151-167
Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis....Pages 168-183
Process Mining Meets Abstract Interpretation....Pages 184-199
Smarter Sampling in Model-Based Bayesian Reinforcement Learning....Pages 200-214
Predicting Partial Orders: Ranking with Abstention....Pages 215-230
Predictive Distribution Matching SVM for Multi-domain Learning....Pages 231-247
Kantorovich Distances between Rankings with Applications to Rank Aggregation....Pages 248-263
Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition....Pages 264-279
Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss....Pages 280-295
Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression....Pages 296-311
Adaptive Bases for Reinforcement Learning....Pages 312-327
Constructing Nonlinear Discriminants from Multiple Data Views....Pages 328-343
Learning Algorithms for Link Prediction Based on Chance Constraints....Pages 344-360
Sparse Unsupervised Dimensionality Reduction Algorithms....Pages 361-376
Asking Generalized Queries to Ambiguous Oracle....Pages 377-392
Analysis of Large Multi-modal Social Networks: Patterns and a Generator....Pages 393-408
A Cluster-Level Semi-supervision Model for Interactive Clustering....Pages 409-424
Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs....Pages 425-441
Induction of Concepts in Web Ontologies through Terminological Decision Trees....Pages 442-457
Classification with Sums of Separable Functions....Pages 458-473
Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information....Pages 474-489
Bagging for Biclustering: Application to Microarray Data....Pages 490-505
Hub Gene Selection Methods for the Reconstruction of Transcription Networks....Pages 506-521
Expectation Propagation for Bayesian Multi-task Feature Selection....Pages 522-537
Graphical Multi-way Models....Pages 538-553
Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval....Pages 554-569
Graph Regularized Transductive Classification on Heterogeneous Information Networks....Pages 570-586
Temporal Maximum Margin Markov Network....Pages 587-600
Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration....Pages 601-616
Back Matter....Pages -