EWSL 1991: Porto, Portugal

@proceedings{DBLP:conf/ecml/1991,
  editor    = {Yves Kodratoff},
  title     = {Machine Learning - EWSL-91, European Working Session on Learning,
               Porto, Portugal, March 6-8, 1991, Proceedings},
  booktitle = {EWSL},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {482},
  year      = {1991},
  isbn      = {3-540-53816-X},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Part 1: Cronstructive Induction and Multi-strategy Approaches

• Attilio Giordana, Davide Roverso, Lorenza Saitta: Abstracting Background Knowledge for Concept Learning. 1-13 BibTeX
• Gheorghe Tecuci: A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition. 14-32 BibTeX
• Gerhard Widmer: Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory Domains. 33-43 BibTeX
• Der-Shung Yang, Gunnar Blix, Larry A. Rendell: The Replication Problem: A Constructive Induction Approach. 44-61 BibTeX
• F. Zerr, Jean-Gabriel Ganascia: Integrating an Explanation-Based Learning Mechanism into a General Problem-Solver. 62-80 BibTeX
• Claudio Carpineto: Analytical Negative Generalization and Empirical Negative Generalization are not Cumulative: A Case Study. 81-88 BibTeX
• Francesco Bergadano, Floriana Esposito, Céline Rouveirol, Stefan Wrobel: Panel: Evaluating and Changing Representation in Concept Acquisition. 89-100 BibTeX

Part 2: Discovery

• Jan M. Zytkow, Jieming Zhu: Panel: Application of Empirical Discovery in Knowledge Acquisition. 101-117 BibTeX
• Majorie Moulet: Using Accuracy in Scientific Discovery. 118-136 BibTeX
• Gilles Bisson: KBG: A Generator of Knowledge Bases. 137 BibTeX

Part 3: Numeric and Statistical Approaches

• Bojan Cestnik, Ivan Bratko: On Estimating Probabilities in Tree Pruning. 138-150 BibTeX
• Peter Clark, Robin Boswell: Rule Induction with CN2: Some Recent Improvements. 151-163 BibTeX
• Jason Catlett: On Changing Continuous Attributes into Ordered Discrete Attributes. 164-178 BibTeX
• Floor Verdenius: A Method for Inductive Cost Optimization. 179-191 BibTeX
• Cullen Schaffer: When Does Overfitting Decrease Prediction Accuracy in Induced Decision Trees and Rule Sets?. 192-205 BibTeX
• Igor Kononenko: Semi-Naive Bayesian Classifier. 206-219 BibTeX
• Christine Decaestecker: Description Contrasting in Incremental Concept Formation. 220-233 BibTeX
• Miroslav Kubat, Jirina Pavlickova: The System FLORA: Learning from Type-Varying Training Sets. 234 BibTeX
• Marco Dorigo: Message-Based Bucket Brigade: An Algorithm for the Apportionment of Credit Problem. 235-244 BibTeX

Part 4: Theorem Proving and EBL

• Luc De Raedt, Johan Feyaerts, Maurice Bruynooghe: Acquiring Object-Knowledge for Learning Systems. 245-264 BibTeX
• Nada Lavrac, Saso Dzeroski, Marko Grobelnik: Learning Nonrecursive Definitions of Relations with LINUS. 265-281 BibTeX
• Igor Mozetic, Christian Holzbaur: Extending Explanation-Based Generalization by Abstraction Operators. 282-297 BibTeX
• Catherine Belleannée, Jacques Nicolas: Static Learning for an Adaptive Theorem Prover. 298-311 BibTeX
• Kai Zercher: Explanation-Based Generalization and Constraint Propagation with Interval Labels. 312-326 BibTeX
• Paulo Urbano: Learning by Explanation of Failures. 327-343 BibTeX
• Luc De Raedt: Panel: Logic and Learnability. 344 BibTeX
• Lorenza Saitta: Panel: Causality and Learning. 345 BibTeX
• Jacques Nicolas: Seed Space and Version Space: Generalizing from Approximations. 346 BibTeX
• Sylvain Delisle, Stan Matwin, Lionel Zupan: Integrating EBL with automatic Text Analysis. 347 BibTeX

Part 5: Inversion of Resolution

• Béatrice Duval: Abduction and Induction for Explanation-Based Learning. 348-360 BibTeX
• Shan-Hwei Nienhuys-Cheng, Peter A. Flach: Consistent Term Mappings, Term Partitions and Inverse Resolution. 361-374 BibTeX

Part 6: Analogy and Case-Based Learning

• Manuela M. Veloso, Jaime G. Carbonell: Learning by Analogical Replay in PRODIGY: First Results. 375-390 BibTeX
• Birgit Tausend, Siegfried Bell: Analogical Reasoning for Logic Programming. 391-397 BibTeX
• Beatriz López, Enric Plaza: Case-Based Learning of Strategic Knowledge. 398-411 BibTeX

Part 7: Multi-agents

• Pavel Brazdil, Matjaz Gams, Sati S. Sian, Luís Torgo, Walter Van de Velde: Panel: Learning in Distributed Systems and Multi-Agent Environments. 412-423 BibTeX
• Pavel Brazdil, Stephen Muggleton: Learning to Relate Terms in a Multiple Agent Environment. 424-439 BibTeX
• Sati S. Sian: Extending Learning to Multiple Agents: Issues and a Model for Multi-Agent Machine Learning (MA-ML). 440-456 BibTeX

Part 8: Applications

• Peter Clark, Bojan Cestnik, Claude Sammut, Joachim Stender: Panel: Applications of Machine Learning: Notes from the Panel Members. 457-462 BibTeX
• Hakim Lounis, Gilles Bisson: Evaluation of Learning Systems: An Artificial Data-Based Approach. 463-481 BibTeX
• Luigi Di Pace, F. Fabrocini, G. Bolis: Shift of Bias in Learning from Drug Compounds: The Fleming Project. 482-493 BibTeX
• Eduardo F. Morales: Learning Features by Experimentation in Chess. 494-511 BibTeX
• Francis Courtot: Representation and Induction of Musical Structures for Computer Assisted Composition. 512 BibTeX
• Steffen Schulze-Kremer, Ross D. King: IPSA: Inductive Protein Structure Analysis. 513 BibTeX
• Thomas R. Addis, Yves Kodratoff, Ramon López de Mántaras, Katharina Morik, Enric Plaza: Panel: Four Stances on Knowledge Acquisition and Machine Learning. 514-533 BibTeX