7. ECML 1994: Catania, Italy

Invited Papers

• Yves Kodratoff:
  Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream. 3-19
  
• Filippo Neri, Lorenza Saitta:
  Knowledge Representation in Machine Learning. 20-27
  

Regular Papers

• David W. Aha, Stephane Lapointe, Charles X. Ling, Stan Matwin:
  Inverting Implication with Small Training Sets. 31-48
  
• Yoram Biberman:
  A Context Similarity Measure. 49-63
  
• Daniel Borrajo, Manuela M. Veloso:
  Incremental Learning of Control Knowledge for Nonlinear Problem Solving. 64-82
  
• Pavel Brazdil, Joao Gama, Bob Henery:
  Characterizing the Applicability of Classification Algorithms Using Meta-Level Learning. 83-102
  
• Werner Emde:
  Inductive Learning of Characteristic Concept Description from Small Sets of Classified Examples. 103-121
  
• Johannes Fürnkranz:
  FOSSIL: A Robust Relational Learner. 122-137
  
• Jürgen Herrmann, Reiner Ackermann, Jörg Peters, Detlef Reipa:
  A Multistrategy Learning System and Its Integration into an Interactive Floorplanning Tool. 138-153
  
• Ron Kohavi:
  Bottom-Up Induction of Oblivious Read-Once Decision Graphs. 154-169
  
• Igor Kononenko:
  Estimating Attributes: Analysis and Extensions of RELIEF. 171-182
  
• Guillaume Le Blanc:
  BMWk Revisited - Generalization and Formalization of an Algorithm for Detecting Recursive Relations in Term Sequences. 183-197
  
• Donato Malerba, Giovanni Semeraro, Floriana Esposito:
  An Analytic and Empirical Comparison of Two Methods for Discovering Probabilistic Causal Relationships. 198-216
  
• Shan-Hwei Nienhuys-Cheng, Mark Polman:
  Sample PAC-Learnability in Model Inference. 217-230
  
• Jonathan J. Oliver, David J. Hand:
  Averaging Over Decision Stumps. 231-241
  
• Bernhard Pfahringer:
  Controlling Constructive Induction in CIPF: An MDL Approach. 242-256
  
• Michèle Sebag:
  Using Constraints to Building Version Spaces. 257-271
  
• Irene Stahl:
  On the Utility of Predicate Invention in Inductive Logic Programming. 272-286
  
• Eleni Stroulia, Ashok K. Goel:
  Learning Problem-Solving Concepts by Reflecting on Problem Solving. 287-306
  
• Patrick R. J. van der Laag, Shan-Hwei Nienhuys-Cheng:
  Existence and Nonexistence of Complete Refinement Operators. 307-322
  
• Dietrich Wettschereck:
  A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm. 323-335
  

Extended Abstracts

• Petr Berka, Jirí Ivánek:
  Automated Knowledge Acquisition for PROSPECTOR-like Expert Systems. 339-342
  
• Werner Brockmann:
  On the Role of Machine Learning in Knowledge-Based Control. 343-347
  
• Saso Dzeroski, Igor Petrovski:
  Discovering Dynamics with Genetic Programming. 347-350
  
• Tapio Elomaa, Esko Ukkonen:
  A Geometric Approach to Feature Selection. 351-354
  
• Claudio Ferretti, Giancarlo Mauri:
  Identifying Unrecognizable Regular Languages by Queries. 355-358
  
• Daniele Gunetti, Umberto Trinchero:
  Intensional Learning of Logic Programs. 359-362
  
• Eizyu Hirowatari, Setsuo Arikawa:
  Partially Isomorphic Generalization and Analogical Reasoning. 363-366
  
• Pascal Jappy, Marie-Catherine Daniel-Vatonne, Olivier Gascuel, Colin de la Higuera:
  Learning from Recursive, Tree Structured Examples. 367-370
  
• A. Ketterlin, Jerzy J. Korczak:
  Concept Formation in Complex Domains. 371-374
  
• Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo:
  An ALgorithm for Learning Hierarchical Classifiers. 375-378
  
• Mieczyslaw A. Klopotek:
  Learning Belief Network Structure from Data Under Causal Insufficiency. 379-382
  
• Ulrich Knoll, Gholamreza Nakhaeizadeh, Birgit Tausend:
  Cost-Sensitive Pruning of Decision Trees. 383-386
  
• Changhwan Lee:
  An Instance-Based Learning Method for Database: An Information Theoretic Approach. 387-390
  
• Wei Zhong Liu, Allan P. White, M. T. Hallissey:
  Early Screening for Castric Cancer Using machine Learning Techniques. 391-394
  
• Joel D. Martin:
  DP 1: Supervised and Unsupervised Clustering. 395-398
  
• Dunja Mladenic, Ivan Bratko, Ray J. Paul, Marko Grobelnik:
  Using Machine Learning Techniques to Interpret Results from Discrete Event Simulation. 399-402
  
• Enric Plaza, Josep Lluís Arcos:
  Flexible Integration of Multiple Learning Methods into a Problem Solving Architecture. 403-406
  
• Janos J. Sarbo, József Farkas:
  Concept Sublattices. 407-410
  
• Barbara Schulmeister, Fritz Wysotzki:
  The Piecewise Linear Classifier DIPOL92. 411-414
  
• Ayumi Shinohara:
  Complexity of Computing Generalized VC-Dimensions. 415-418
  
• Edgar Sommer:
  Learning Relations with Closing the World (Extended Abstract). 419-422
  
• Irene Stahl:
  Properties of Inductive Logic Programming in Function-Free Horn Logic. 423-426
  
• Birgit Tausend:
  Representing Biases for Inductive Logic Programming. 427-430
  
• Birgit Tausend:
  Biases and Their Effects in Inductive Logic Programming. 431-434
  
• Christel Vrain, Lionel Martin:
  Inductive Learning of Normal Clauses. 435-438