Machine Learning: ECML 2004

Filtered Reinforcement Learning

Pages 27-38

Aberdeen, Douglas

Applying Support Vector Machines to Imbalanced Datasets

Pages 39-50

Akbani, Rehan (et al.)

Sensitivity Analysis of the Result in Binary Decision Trees

Pages 51-62

Alvarez, Isabelle

A Boosting Approach to Multiple Instance Learning

Pages 63-74

Auer, Peter (et al.)

An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games

Pages 75-86

Bab, Avi (et al.)

Learning from Message Pairs for Automatic Email Answering

Pages 87-98

Bickel, Steffen (et al.)

Concept Formation in Expressive Description Logics

Pages 99-110

Fanizzi, Nicola (et al.)

Multi-level Boundary Classification for Information Extraction

Pages 111-122

Finn, Aidan (et al.)

An Analysis of Stopping and Filtering Criteria for Rule Learning

Pages 123-133

Fürnkranz, Johannes (et al.)

Adaptive Online Time Allocation to Search Algorithms

Pages 134-143

Gagliolo, Matteo (et al.)

Model Approximation for HEXQ Hierarchical Reinforcement Learning

Pages 144-155

Hengst, Bernhard

Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services

Pages 156-167

Heß, Andreas (et al.)

Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics

Pages 168-179

Jan’t Hoen, Pieter (et al.)

Experiments in Value Function Approximation with Sparse Support Vector Regression

Pages 180-191

Jung, Tobias (et al.)

Constructive Induction for Classifying Time Series

Pages 192-204

Kadous, Mohammed Waleed (et al.)

Fisher Kernels for Logical Sequences

Pages 205-216

Kersting, Kristian (et al.)

The Enron Corpus: A New Dataset for Email Classification Research

Pages 217-226

Klimt, Bryan (et al.)

Margin Maximizing Discriminant Analysis

Pages 227-238

Kocsor, András (et al.)

Multi-objective Classification with Info-Fuzzy Networks

Pages 239-249

Last, Mark

Improving Progressive Sampling via Meta-learning on Learning Curves

Pages 250-261

Leite, Rui (et al.)

Methods for Rule Conflict Resolution

Pages 262-273

Lindgren, Tony

An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk

Pages 274-285

Liu, Han (et al.)

Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection

Pages 286-297

Luaces, Oscar (et al.)

Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework

Pages 298-309

O, Jangmin (et al.)

Justification-Based Selection of Training Examples for Case Base Reduction

Pages 310-321

Ontañón, Santiago (et al.)

Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers

Pages 322-333

Oyama, Satoshi (et al.)

Feature Selection Filters Based on the Permutation Test

Pages 334-346

Radivojac, Predrag (et al.)

Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning

Pages 347-358

Ratitch, Bohdana (et al.)

Improving Random Forests

Pages 359-370

Robnik-Šikonja, Marko

The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering

Pages 371-383

Saerens, Marco (et al.)

Using String Kernels to Identify Famous Performers from Their Playing Style

Pages 384-395

Saunders, Craig (et al.)

Associative Clustering

Pages 396-406

Sinkkonen, Janne (et al.)

Learning to Fly Simple and Robust

Pages 407-418

Šuc, Dorian (et al.)

Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data

Pages 419-428

Sun, Shiliang (et al.)

Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees

Pages 429-440

Ting, Kai Ming

Inducing Polynomial Equations for Regression

Pages 441-452

Todorovski, Ljupčo (et al.)

Efficient Hyperkernel Learning Using Second-Order Cone Programming

Pages 453-464

Tsang, Ivor W. (et al.)

Effective Voting of Heterogeneous Classifiers

Pages 465-476

Tsoumakas, Grigorios (et al.)

Convergence and Divergence in Standard and Averaging Reinforcement Learning

Pages 477-488

Wiering, Marco A.

Document Representation for One-Class SVM

Pages 489-500

Wu, Xiaoyun (et al.)

Naive Bayesian Classifiers for Ranking

Pages 501-512

Zhang, Harry (et al.)

Conditional Independence Trees

Pages 513-524

Zhang, Harry (et al.)

Exploiting Unlabeled Data in Content-Based Image Retrieval

Pages 525-536

Zhou, Zhi-Hua (et al.)

Population Diversity in Permutation-Based Genetic Algorithm

Pages 537-547

Zhu, Kenny Q. (et al.)

Simultaneous Concept Learning of Fuzzy Rules

Pages 548-559

Zyl, Jacobus (et al.)

SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data

Pages 560-562

Jin, Rong (et al.)

Estimating Attributed Central Orders

Pages 563-565

Kamishima, Toshihiro (et al.)

Batch Reinforcement Learning with State Importance

Pages 566-568

Li, Lihong (et al.)

Explicit Local Models: Towards “Optimal” Optimization Algorithms

Pages 569-571

Poland, Jan

An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes

Pages 572-574

Zhang, Xiang (et al.)

Cluster-Grouping: From Subgroup Discovery to Clustering

Pages 575-577

Zimmermann, Albrecht (et al.)