7. ECML 1994: Catania, Italy
Francesco Bergadano, Luc De Raedt (Eds.): Machine Learning: ECML-94, European Conference on Machine Learning, Catania, Italy, April 6-8, 1994, Proceedings. Springer 1994 Lecture Notes in Computer Science ISBN 3-540-57868-4
Invited Papers
- Yves Kodratoff: Industrial Applications of ML: Illustrations for the KAML Dilemma and the CBR Dream. 3-19
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
- 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
- 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
- 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
- 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
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