Machine Learning and Knowledge Discovery in Databases

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

By: Wray Buntine (Editor), Marko Grobelnik (Editor), Dunja Mladenic (Editor)

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Paperback | 3 September 2009

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The year 2008 was the ?rst year that the previously separate European C- ferences on Machine Learning (ECML) and the Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) were merged into a u- ?ed event. This is a natural evolution after eight consecutive years of their being collocated after the ?rst joint conference in Freiburg in 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the ?rst European Working Session on Learning was held in Orsay, France followed by the second European Working Session on Learning held in Bled, the loca- on of this year's ECML PKDD 2009 conference. The European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) was ?rst held in 1997 in Trondheim, Norway. Over the years, the ECML/PKDD series hasevolvedintooneofthelargestandmostselectiveinternationalconferencesin machine learning and data mining, the only one that provides a common forum for the two closely related ?elds. In 2009, ECML PKDD conference was held during September 7-11 in Bled, Slovenia. The conference used a hierarchicalreviewing process. We nominated 26 Area Chairs, each of them responsible for one sub-?eld or several closely related re- arch topics. Suitable areas were selected on the basis of the submission statistics for ECML PKDD 2008 and from last year's International Conference on Mac- neLearning(ICML2008)andInternationalConferenceonKnowledgeDiscovery and Data Mining (KDD 2008) to ensure a proper load balance among the Area Chairs. A joint ProgramCommittee (PC) wasnominated consisting of some300 renownedresearchers,mostlyproposedbytheAreaChairs.

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Mathematical Theory of Computation Databases Data Mining Computer Networking & Communications Artificial Intelligence Pattern Recognition Data Warehousing Computer Hardware Network Hardware

Digital Lifestyle & Online World: Consumer & User Guides Internet Guides & Online Services Computer Vision Information Retrieval Expert Systems & Knowledge-Based Systems

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
Table of Contents provided by Ingram. All Rights Reserved.

Machine Learning and Knowledge Discovery in Databases

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

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