ECML-PKDD 2000

45 papers

A Comparison of Ranking Methods for Classification Algorithm Selection Pavel Brazdil, Carlos Soares

A Machine Learning Approach to Workflow Management Joachim Herbst

A Multiple Model Cost-Sensitive Approach for Intrusion Detection Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew Miller

A Study on the Performance of Large Bayes Classifier Dimitris Meretakis, Hongjun Lu, Beat Wüthrich

An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners Barry Smyth, Elizabeth McKenna

An Empirical Study of MetaCost Using Boosting Algorithms Kai Ming Ting

Asymmetric Co-Evolution for Imperfect-Information Zero-Sum Games Ole Martin Halck, Fredrik A. Dahl

Beyond Occam's Razor: Process-Oriented Evaluation Pedro M. Domingos

Boosting Applied Toe Word Sense Disambiguation Gerard Escudero, Lluís Màrquez, German Rigau

Clustered Partial Linear Regression Luís Torgo, Joaquim Pinto da Costa

Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets

Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters Yuri Kalnishkan

Dimensionality Reduction Through Sub-Space Mapping for Nearest Neighbor Algorithms Terry R. Payne, Peter Edwards

Diversity Versus Quality in Classification Ensembles Based on Feature Selection Padraig Cunningham, John Carney

Dynamic Discretization of Continuous Values from Time Series Llanos Mora López, Inmaculada Fortes Ruiz, Rafael Morales Bueno, Francisco Triguero Ruiz

Dynamic Feature Selection in Incremental Hierarchical Clustering Luis Talavera

Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning David McKoskey, Daniel Boley

Exploiting Classifier Combination for Early Melanoma Diagnosis Support Enrico Blanzieri, Claudio Eccher, Stefano Forti, Andrea Sboner

Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling DaeEun Kim, Jaeho Lee

Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing Laurent Bréhélin, Olivier Gascuel, Gilles Caraux

Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning Javier Béjar

Investigation and Reduction of Discretization Variance in Decision Tree Induction Pierre Geurts, Louis Wehenkel

K-SVCR. a Multi-Class Support Vector Machine Cecilio Angulo, Andreu Català

Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices Kitsana Waiyamai, Lotfi Lakhal

Layered Learning Peter Stone, Manuela M. Veloso

Learning Context-Free Grammars with a Simplicity Bias Pat Langley, Sean Stromsten

Learning Patterns of Behavior by Observing System Events Marlon Núñez

Learning Trading Rules with Inductive Logic Programming Liviu Badea

Measuring Performance When Positives Are Rare: Relative Advantage Versus Predictive Accuracy - A Biological Case Study Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan

Metric-Based Inductive Learning Using Semantic Height Functions Zdravko Markov, Ivo Marinchev

Minimax TD-Learning with Neural Nets in a Markov Game Fredrik A. Dahl, Ole Martin Halck

Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm Filippo Neri

Nonparametric Regularization of Decision Trees Tobias Scheffer

On the Boosting Pruning Problem Christino Tamon, Jie Xiang

Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme Carsten Lanquillon

Problem Decomposition for Behavioural Cloning Dorian Suc, Ivan Bratko

Relative Unsupervised Discretization for Regresseion Problems Marcus-Christopher Ludl, Gerhard Widmer

Short-Term Profiling for a Case-Based Reasoning Esma Aïmeur, Mathieu Vézeau

Some Improvements on Event-Sequence Temporal Region Methods Wei Zhang

The Representation Race - Preprocessing for Handling Time Phenomena Katharina Morik

The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks Andrzej Izworski, Ryszard Tadeusiewicz, Andrzej Paslawski

Toward an Ecplanatory Similarity Measure for Nearest-Neighbor Classification Mathieu Latourrette

Using a Symbolic Machine Learning Tool to Refine Lexico-Syntactic Patterns Emmanuel Morin, Emmanuelle Martienne

Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry Katja Gelbrich, Reza Nakhaeizadeh

Wrapper Generation via Grammar Induction Boris Chidlovskii, Jon Ragetli, Maarten de Rijke