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.
Lecture Notes in Computer Science 784 Springer 1994, ISBN 3-540-57868-4 
Invited Papers
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
- Alain 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
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