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ORCID11th ECML 2000: Barcelona, Catalonia, Spain
- Ramón López de Mántaras, Enric Plaza
:
Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000, Proceedings. Lecture Notes in Computer Science 1810, Springer 2000, ISBN 3-540-67602-3
Invited Papers
- Pedro M. Domingos:
Beyond Occam's Razor: Process-Oriented Evaluation. 3 - Katharina Morik:
The Representation Race - Preprocessing for Handling Time Phenomena. 4-19
Contributed Papers
- Esma Aïmeur, Mathieu Vézeau:
Short-Term Profiling for a Case-Based Reasoning. 23-30 - Cecilio Angulo, Andreu Català:
K-SVCR. A Multi-class Support Vector Machine. 31-38 - Liviu Badea:
Learning Trading Rules with Inductive Logic Programming. 39-46 - Javier Béjar:
Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning. 47-54 - Enrico Blanzieri, Claudio Eccher, Stefano Forti, Andrea Sboner:
Exploiting Classifier Combination for Early Melanoma Diagnosis Support. 55-62 - Pavel Brazdil, Carlos Soares:
A Comparison of Ranking Methods for Classification Algorithm Selection. 63-74 - Laurent Bréhélin, Olivier Gascuel, Gilles Caraux:
Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing. 75-87 - Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers. 88-95 - Boris Chidlovskii, Jon Ragetli, Maarten de Rijke:
Wrapper Generation via Grammar Induction. 96-108 - Padraig Cunningham, John Carney:
Diversity versus Quality in Classification Ensembles Based on Feature Selection. 109-116 - Fredrik A. Dahl, Ole Martin Halck:
Minimax TD-Learning with Neural Nets in a Markov Game. 117-128 - Gerard Escudero, Lluís Màrquez, German Rigau:
Boosting Applied toe Word Sense Disambiguation. 129-141 - Wei Fan, Wenke Lee, Salvatore J. Stolfo, Matthew Miller:
A Multiple Model Cost-Sensitive Approach for Intrusion Detection. 142-153 - Katja Gelbrich, Reza Nakhaeizadeh:
Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry. 154-161 - Pierre Geurts, Louis Wehenkel:
Investigation and Reduction of Discretization Variance in Decision Tree Induction. 162-170 - Ole Martin Halck, Fredrik A. Dahl:
Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games. 171-182 - Joachim Herbst:
A Machine Learning Approach to Workflow Management. 183-194 - Andrzej Izworski, Ryszard Tadeusiewicz, Andrzej Paslawski:
The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks. 195-202 - Yuri Kalnishkan:
Complexity Approximation Principle and Rissanen's Approach to Real-Valued Parameters. 203-210 - DaeEun Kim, Jaeho Lee:
Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modelling. 211-219 - Pat Langley, Sean Stromsten:
Learning Context-Free Grammars with a Simplicity Bias. 220-228 - Carsten Lanquillon:
Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme. 229-237 - Mathieu Latourrette:
Toward an Ecplanatory Similarity Measure for Nearest-Neighbor Classification. 238-245 - Marcus-Christopher Ludl, Gerhard Widmer:
Relative Unsupervised Discretization for Regresseion Problems. 246-253 - Zdravko Markov, Ivo Marinchev:
Metric-Based Inductive Learning Using Semantic Height Functions. 254-262 - David McKoskey, Daniel Boley:
Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning. 263-270 - Dimitris Meretakis, Hongjun Lu, Beat Wüthrich:
A Study on the Performance of Large Bayes Classifier. 271-279 - Llanos Mora López, Inmaculada Fortes Ruiz, Rafael Morales Bueno, Francisco Triguero Ruiz:
Dynamic Discretization of Continuous Values from Time Series. 280-291 - Emmanuel Morin, Emmanuelle Martienne:
Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns. 292-299 - Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan:
Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case Study. 300-312 - Filippo Neri:
Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm. 313-322 - Marlon Núñez:
Learning Patterns of Behavior by Observing System Events. 323-330 - Terry R. Payne, Peter Edwards:
Dimensionality Reduction through Sub-space Mapping for Nearest Neighbor Algorithms. 331-343 - Tobias Scheffer:
Nonparametric Regularization of Decision Trees. 344-356 - Barry Smyth, Elizabeth McKenna:
An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners. 357-368 - Peter Stone, Manuela M. Veloso:
Layered Learning. 369-381 - Dorian Suc, Ivan Bratko:
Problem Decomposition for Behavioural Cloning. 382-391 - Luis Talavera:
Dynamic Feature Selection in Incremental Hierarchical Clustering. 392-403 - Christino Tamon, Jie Xiang:
On the Boosting Pruning Problem. 404-412 - Kai Ming Ting:
An Empirical Study of MetaCost Using Boosting Algorithms. 413-425 - Luís Torgo, Joaquim Pinto da Costa:
Clustered Partial Linear Regression. 426-436 - Kitsana Waiyamai, Lotfi Lakhal:
Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices. 437-445 - Wei Zhang:
Some Improvements on Event-Sequence Temporal Region Methods. 446-458
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