12. ECML 2000: Barcelona, Catalonia, Spain

Ramon López de Mántaras, Enric Plaza (Eds.): 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 BibTeX

@proceedings{DBLP:conf/ecml/2000,
  editor    = {Ramon L{\'o}pez de M{\'a}ntaras and
               Enric Plaza},
  title     = {Machine Learning: ECML 2000, 11th European Conference on Machine
               Learning, Barcelona, Catalonia, Spain, May 31 - June 2, 2000,
               Proceedings},
  booktitle = {ECML},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1810},
  year      = {2000},
  isbn      = {3-540-67602-3},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Invited Papers

Pedro Domingos:
Beyond Occam's Razor: Process-Oriented Evaluation. 3
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Katharina Morik:
The Representation Race - Preprocessing for Handling Time Phenomena. 4-19
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Contributed Papers

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