8. ECML 1995: Heraclion, Crete, Greece

Invited Papers

• Jörg Gebhardt, Rudolf Kruse:
  Reasoning and Learning in Probabilistic and Possibilistic Networks: An Overview. 3-16
  
• Donald Michie:
  Problem Decomposition and the Learning of Skills. 17-31
  
• Tom M. Mitchell:
  Machine Learning in the World Wide Web. 32
  
• Stellan Ohlsson, James J. Jewett:
  Abstract Computer Models: Towards a New Method for Theorizing About Adaptive Agents. 33-52
  

Papers

• Ralph Bergmann, Wolfgang Wilke:
  Learning Abstract Planning Cases. 55-76
  
• Yoram Biberman:
  The Role of Prototypicality in Exemplar-Based Learning. 77-91
  
• Henrik Boström:
  Specialization of Recursive Predicates. 92-106
  
• Jürgen Branke, Udo Kohlmorgen, Hartmut Schmeck:
  A Distributed Genetic Algorithm Improving the Generalization Behavior of Neural Networks. 107-121
  
• Yannis Dimopoulos, Antonis C. Kakas:
  Learning Non-Monotonic Logic Programs: Learning Exceptions. 122-137
  
• Anthony G. Francis Jr., Ashwin Ram:
  A Comparitive Utility Analysis of Case-Based Reasoning and Control-Rule Learning Systems. 138-150
  
• Dragan Gamberger:
  A Minimization Approach to Propositional Inductive Learning. 151-160
  
• Anthony D. Griffiths, Derek G. Bridge:
  On Concept Space and Hypothesis Space in Case-Based Learning Algorithms. 161-173
  
• Ron Kohavi:
  The Power of Decision Tables. 174-189
  
• Miroslav Kubat, Doris Flotzinger:
  Pruning Multivariate Decision Trees by Hyperplane Merging. 190-199
  
• Thierry Van de Merckt, Christine Decaestecker:
  Multiple-Knowledge Representation in Concept Learning. 200-217
  
• Georgios Paliouras, David S. Brée:
  The Effect of Numeric Features on the Scalability of Inductive Learning Programs. 218-231
  
• Ken Sadohara, Makoto Haraguchi:
  Analogical Logic Program Synthesis from Examples. 232-244
  
• Birgit Tausend:
  A Guided Tour Through Hypothesis Spaces in ILP. 245-259
  

Extended Abstracts

• Hilde Adé, Henrik Boström:
  JIGSAW: Puzzling together RUTH and SPECTRE (Extended Abstract). 263-266
  
• Siegfried Bell, Peter Brockhausen:
  Discovery of Constraints and Data Dependencies in Databases (Extended Abstract). 267-270
  
• Cathy Escazut, Philippe Collard:
  Learning Disjunctive Normal Forms in a Dual Classifier System (Extended Abstract). 271-274
  
• Gerard V. Conroy, David M. Dutton:
  The Effects of Noise on Efficient Incremental Induction (Extended Abstract). 275-278
  
• Matthew J. Dovey:
  Analysis of Rachmaninoff's Piano Performances Using Inductive Logic Programming (Extended Abstract). 279-282
  
• Saso Dzeroski, Ljupco Todorovski, Tanja Urbancic:
  Handling Real Numbers in ILP: A Step Towards Better Behavioural Clones (Extended Abstract). 283-286
  
• Floriana Esposito, Donato Malerba, Giovanni Semeraro:
  Simplifying Decision Trees by Pruning and Grafting: New Results (Extended Abstract). 287-290
  
• Johannes Fürnkranz:
  A Tight Integration of Pruning and Learning (Extended Abstract). 291-294
  
• Irena Ivanova, Miroslav Kubat:
  Decision-Tree Based Neural Network (Extended Abstract). 295-298
  
• Alípio Jorge, Pavel Brazdil:
  Learning Recursion with Iterative Bootstrap Induction (Extended Abstract). 299-302
  
• Thomas Kolbe, Christoph Walther:
  Patching Proofs for Reuse (Extended Abstract). 303-306
  
• Miroslav Kubat, Gerhard Widmer:
  Adapting to Drift in Continuous Domains (Extended Abstract). 307-310
  
• Aristidis Likas, Konstantinos Blekas, Andreas Stafylopatis:
  Parallel Recombinative Reinforcement Learning (Extended Abstract). 311-314
  
• Mario Martin, Ulises Cortés:
  Learning to Solve Complex Tasks for Reactive Systems (Extended Abstract). 315-318
  
• Sadayoshi Mikami, Yukinori Kakazu, Terence C. Fogarty:
  Co-operative Reinforcement Learning By Payoff Filters (Extended Abstract). 319-322
  
• Wolfgang Müller, Fritz Wysotzki:
  Automatic Synthesis of Control Programs by Combination of Learning and Problem Solving Methods (Extended Abstract). 323-326
  
• Nikolay I. Nikolaev, Evgueni N. Smirnov:
  Analytical Learning Guided by Empirical Technology: An Approach to Integration (Extended Abstract). 327-330
  
• Bernhard Pfahringer:
  A New MDL Measure for Robust Rule Induction (Extended Abstract). 331-334
  
• Marco Richeldi, Mauro Rossotto:
  Class-Driven Statistical Discretization of Continuous Attributes (Extended Abstract). 335-338
  
• Mehran Sahami:
  Generating Neural Networks Through the Induction of Threshold Logic Unit Trees (Extended Abstract). 339-342
  
• Mehran Sahami:
  Learning Classification Rules Using Lattices (Extended Abstract). 343-346
  
• Barbara Schulmeister, Mario Bleich:
  Hybrid Classification: Using Axis-Parallel and Oblique Subdivisions of the Attribute Space (Extended Abstract). 347-350
  
• Michèle Sebag, Marc Schoenauer, Caroline Ravise:
  An Induction-based Control for Genetic Algorithms (Extended Abstract). 351-355
  
• Edgar Sommer:
  FENDER: An Approach to Theory Restructuring (Extended Abstract). 356-359
  
• Irene Weber, Birgit Tausend, Irene Stahl:
  Language Series Revisited: The Complexity of Hypothesis Spaces in ILP (Extended Abstract). 360-363
  
• Christel Wisotzki, Fritz Wysotzki:
  Prototype, Nearest Neighbor and Hybrid Algorithms for Time Series Classification (Extended Abstract). 364-367