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

by Buntine, Wray; Grobelnik, Marko; Mladenic, Dunja; Shawe-Taylor, John

• ISBN13: 9783642041730
• ISBN10: 3642041736
• Edition: 1st
• Format: Paperback
• Copyright: 2009-09-01
• Publisher: Springer-Verlag New York Inc

Summary

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009.The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 422 paper submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Table of Contents

Regular Papers
Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines	p. 1
A Convex Method for Locating Regions of Interest with Multi-instance Learning	p. 15
Active Learning for Reward Estimation in Inverse Reinforcement Learning	p. 31
Simulated Iterative Classification a New Learning Procedure for Graph Labeling	p. 47
Graph-Based Discrete Differential Geometry for Critical Instance Filtering	p. 63
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams	p. 79
Neural Networks for State Evaluation in General Game Playing	p. 95
Learning to Disambiguate Search Queries from Short Sessions	p. 111
Dynamic Factor Graphs for Time Series Modeling	p. 128
On Feature Selection, Bias-Variance, and Bagging	p. 144
Efficient Pruning Schemes for Distance-Based Outlier Detection	p. 160
The Sensitivity of Latent Dirichlet Allocation for Information Retrieval	p. 176
Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification	p. 189
The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases	p. 205
On Discriminative Parameter Learning of Bayesian Network Classifiers	p. 221
Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint	p. 238
Classifier Chains for Multi-label Classification	p. 254
Dependency Tree Kernels for Relation Extraction from Natural Language Text	p. 270
Statistical Relational Learning with Formal Ontologies	p. 286
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm	p. 302
Capacity Control for Partially Ordered Feature Sets	p. 318
Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known	p. 334
Identifying the Original Contribution of a Document via Language Modeling	p. 350
Relaxed Transfer of Different Classes via Spectral Partition	p. 366
Mining Databases to Mine Queries Faster	p. 382
MACs: Multi-Attribute Co-clusters with High Correlation Information	p. 398
Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs	p. 414
Latent Dirichlet Allocation for Automatic Document Categorization	p. 430
New Regularized Algorithms for Transductive Learning	p. 442
Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement	p. 458
Optimal Online Learning Procedures for Model-Free Policy Evaluation	p. 473
Kernels for Periodic Time Series Arising in Astronomy	p. 489
K-Subspace Clustering	p. 506
Latent Dirichlet Bayesian Co-Clustering	p. 522
Variational Graph Embedding for Globally and Locally Consistent Feature Extraction	p. 538
Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling	p. 554
Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective	p. 570
Subspace Regularization: A New Semi-supervised Learning Method	p. 586
Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension	p. 602
Semi-Supervised Multi-Task Regression	p. 617
A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis	p. 632
Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns	p. 648
Learning the Difference between Partially Observable Dynamical Systems	p. 664
Universal Learning over Related Distributions and Adaptive Graph Transduction	p. 678
The Feature Importance Ranking Measure	p. 694
Demo Papers
OTTHO: On the Tip of My THOught	p. 710
Protecting Sensitive Topics in Text Documents with PROTEXTOR	p. 714
Enhanced Web Page Content Visualization with Firefox	p. 718
ClusTR: Exploring Multivariate Cluster Correlations and Topic Trends	p. 722
Visual OntoBridge: Semi-automatic Semantic Annotation Software	p. 726
Semi-automatic Categorization of Videos on VideoLectures.net	p. 730
Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype	p. 734
Using Temporal Language Models for Document Dating	p. 738
Omiotis: A Thesaurus-Based Measure of Text Relatedness	p. 742
Found in Translation	p. 746
A Community-Based Platform for Machine Learning Experimentation	p. 750
TeleCom Vis: Exploring Temporal Communities in Telecom Networks	p. 755
Author Index	p. 759
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