This book constitutes the refereed proceedings of the 15th European Conference on Machine Learning, ECML 2004, held in Pisa, Italy, in September 2004, jointly with PKDD 2004.
The 45 revised full papers and 6 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 280 papers submitted to ECML and 107 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.
Author(s): Dimitris Achlioptas (auth.), Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi (eds.)
Series: Lecture Notes in Computer Science 3201 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2004
Language: English
Pages: 582
Tags: Artificial Intelligence (incl. Robotics); Algorithm Analysis and Problem Complexity; Mathematical Logic and Formal Languages; Database Management
Front Matter....Pages -
Random Matrices in Data Analysis....Pages 1-7
Data Privacy....Pages 8-8
Breaking Through the Syntax Barrier: Searching with Entities and Relations....Pages 9-16
Real-World Learning with Markov Logic Networks....Pages 17-17
Strength in Diversity: The Advance of Data Analysis....Pages 18-26
Filtered Reinforcement Learning....Pages 27-38
Applying Support Vector Machines to Imbalanced Datasets....Pages 39-50
Sensitivity Analysis of the Result in Binary Decision Trees....Pages 51-62
A Boosting Approach to Multiple Instance Learning....Pages 63-74
An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games....Pages 75-86
Learning from Message Pairs for Automatic Email Answering....Pages 87-98
Concept Formation in Expressive Description Logics....Pages 99-110
Multi-level Boundary Classification for Information Extraction....Pages 111-122
An Analysis of Stopping and Filtering Criteria for Rule Learning....Pages 123-133
Adaptive Online Time Allocation to Search Algorithms....Pages 134-143
Model Approximation for HEXQ Hierarchical Reinforcement Learning....Pages 144-155
Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services....Pages 156-167
Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics....Pages 168-179
Experiments in Value Function Approximation with Sparse Support Vector Regression....Pages 180-191
Constructive Induction for Classifying Time Series....Pages 192-204
Fisher Kernels for Logical Sequences....Pages 205-216
The Enron Corpus: A New Dataset for Email Classification Research....Pages 217-226
Margin Maximizing Discriminant Analysis....Pages 227-238
Multi-objective Classification with Info-Fuzzy Networks....Pages 239-249
Improving Progressive Sampling via Meta-learning on Learning Curves....Pages 250-261
Methods for Rule Conflict Resolution....Pages 262-273
An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk....Pages 274-285
Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection....Pages 286-297
Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework....Pages 298-309
Justification-Based Selection of Training Examples for Case Base Reduction....Pages 310-321
Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers....Pages 322-333
Feature Selection Filters Based on the Permutation Test....Pages 334-346
Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning....Pages 347-358
Improving Random Forests....Pages 359-370
The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering....Pages 371-383
Using String Kernels to Identify Famous Performers from Their Playing Style....Pages 384-395
Associative Clustering....Pages 396-406
Learning to Fly Simple and Robust....Pages 407-418
Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data....Pages 419-428
Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees....Pages 429-440
Inducing Polynomial Equations for Regression....Pages 441-452
Efficient Hyperkernel Learning Using Second-Order Cone Programming....Pages 453-464
Effective Voting of Heterogeneous Classifiers....Pages 465-476
Convergence and Divergence in Standard and Averaging Reinforcement Learning....Pages 477-488
Document Representation for One-Class SVM....Pages 489-500
Naive Bayesian Classifiers for Ranking....Pages 501-512
Conditional Independence Trees....Pages 513-524
Exploiting Unlabeled Data in Content-Based Image Retrieval....Pages 525-536
Population Diversity in Permutation-Based Genetic Algorithm....Pages 537-547
Simultaneous Concept Learning of Fuzzy Rules....Pages 548-559
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data....Pages 560-562
Estimating Attributed Central Orders....Pages 563-565
Batch Reinforcement Learning with State Importance....Pages 566-568
Explicit Local Models: Towards “Optimal” Optimization Algorithms....Pages 569-571
An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes....Pages 572-574
Cluster-Grouping: From Subgroup Discovery to Clustering....Pages 575-577
Back Matter....Pages -
