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ORCID7th ECML 1994: Catania, Italy
- Francesco Bergadano, Luc De Raedt
:
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
- 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, João 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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