E-raamat: Machine Learning: ECML 2000: 11th European Conference on Machine Learning Barcelona, Catalonia, Spain May, 31 - June 2, 2000 Proceedings

Invited papers Beyond Occams Razor: Process-Oriented Evaluation 3(1) Pedro Domingos The Representation Race - Preprocessing for Handling Time Phenomena 4(19) Katharina Morik Contributed Papers Short-Term Profiling for a Case-Based Reasoning Recommendation System 23(8) Esma Aimeur Mathieu Vezeau K-SVCR. A Multi-class Support Vector Machine 31(8) Cecilio Angulo Andreu Catala Learning Trading Rules with Inductive Logic Programming 39(8) Liviu Badea Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning 47(8) Javier Bejar Exploiting Classifier Combination for Early Melanoma Diagnosis Support 55(8) E. Blanzieri C. Eccher S. Forti A. Sboner A Comparison of Ranking Methods for Classification Algorithm Selection 63(12) Pavel B. Brazdi Carlos Soares Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing 75(13) Laurent Brehelin Olivier Gascuel Gilles Caraux Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers 88(8) Tom Brijs Gilbert Swinnen Koen Vanhoof Geert Wets Wrapper Generation via Grammar Induction 96(13) Boris Chidlovskii Jon Ragetli Maarten de Rijke Diversity versus Quality in Classification Ensembles Based on Feature Selection 109(8) Padraig Cunningham John Carney Minimax TD-Learning with Neural Nets in a Markov Game 117(12) Fredrik A. Dahl Ole Martin Halck Boosting Applied to Word Sense Disambiguation 129(13) Gerard Escudero Lluis Marquez German Rigau A Multiple Model Cost-Sensitive Approach for Intrusion Detection 142(12) Wei Fan Wenke Lee Salvatore J. Stolfo Matthew Miller Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry 154(8) Katja Gelbrich Reza Nakhaeizadeh Investigation and Reduction of Discretization Variance in Decision Tree Induction 162(9) Pierre Geurts Louis Whenkel Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games 171(12) Ole Martin Halck Fredrik A. Dahl A Machine Learning Approach to Workflow Management 183(12) Joachim Herbst The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks 195(8) Andrzej Izworski Ryszard Tadeusiewicz Andrzej Paslawski Complexity Approximation Principle and Rissanens Approach to Real-Valued Parameters 203(8) Yuri Kalnishkan Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modeling 211(9) DaeEun Kim Jaeho Lee Learning Context-Free Grammars with a Simplicity Bias 220(9) Pat Langley Sean Stromsten Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme 229(9) Carsten Lanquillon Toward an Explanatory Similarity Measure for Nearest-Neighbor Classification 238(8) Matheu Latourrette Relative Unsupervised Discretization for Regression Problems 246(8) Marcus-Christopher Ludl Gerhard Widmer Metric-Based Inductive Learning Using Semantic Height Functions 254(9) Zdravko Markov Ivo Marinchev Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning 263(8) David McKoskey Daniel Boley A Study on the Performance of Large Bayes Classifier 271(9) Dimitris Meretakis Hongjun Lu Beat Wuthrich Dynamic Discretization of Continuous Values from Time Series 280(12) Llanos Mora Lopez Inmaculada Fortes Ruiz Rafael Morales Bueno Francisco Triguero Ruiz Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns 292(8) Emmanuel Morin Emmanuelle Martienne Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy - A Biological Case-Study 300(13) Stephen H. Muggleton Christopher H. Bryant Ashwin Srinivasan Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm 313(10) Filippo Neri Learning Patterns of Behavior by Observing System Events 323(8) Marlon Nunez Dimensionality Reduction through Sub-space Mapping for Nearest Neighbour Algorithms 331(13) Terry R. Payne Peter Edwards Nonparametric Regularization of Decision Trees 344(13) Tobias Scheffer An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners 357(12) Barry Smyth Elizabeth McKenna Layered Learning 369(13) Peter Stone Manuela Veloso Problem Decomposition for Behavioural Cloning 382(10) Dorian Suc Ivan Bratko Dynamic Feature Selection in Incremental Hierarchical Clustering 392(12) Luis Talavera On the Boosting Pruning Problem 404(9) Christino Tamon Jie Xiang An Empirical Study of MetaCost Using Boosting Algorithms 413(13) Kai Ming Ting Clustered Partial Linear Regression 426(11) Luis Torgo Joaquim Pinto da Costa Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices 437(9) Kitsana Waiyamai Lotfi Lakhal Some Improvements on Event-Sequence Temporal Region Methods 446(13) Wei Zhang Author Index 459