ECML 1993:
Vienna,
Austria
Pavel Brazdil (Ed.):
Machine Learning: ECML-93, European Conference on Machine Learning, Vienna, Austria, April 5-7, 1993, Proceedings.
Lecture Notes in Computer Science 667 Springer 1993, ISBN 3-540-56602-3 BibTeX
@proceedings{DBLP:conf/ecml/1993,
editor = {Pavel Brazdil},
title = {Machine Learning: ECML-93, European Conference on Machine Learning,
Vienna, Austria, April 5-7, 1993, Proceedings},
booktitle = {ECML},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {667},
year = {1993},
isbn = {3-540-56602-3},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
Invited Papers
Research Papers
Inductive Logic Programming
Probabilistic Approaches to Learning
- James Cussens:
Bayes and Pseudo-Bayes Estimates of Conditional Probabilities and Their Reliability.
136-152 BibTeX
- Pat Langley:
Induction of Recursive Bayesian Classifiers.
153-164 BibTeX
Inductive Learning
Learning in Dynamic Environments
Genetic Algorithms
Position Papers
Inductive Logic Programming
Learnability
Learning from Time Dependent Data
Inductive Learning and Applications
- Dieter Fensel, Markus Wiese:
Refinement of Rule Sets with JoJo.
378-383 BibTeX
- Luís Torgo:
Rule Combination in Inductive Learning.
384-389 BibTeX
- Günter Seidelmann:
Using Heuristics to Speed up Induction on Continuous-Valued Attributes.
390-395 BibTeX
- Jean-Gabriel Ganascia, Jérôme Thomas, Philippe Laublet:
Integrating Models of Knowledge and Machine Learning.
396-401 BibTeX
- Peter D. Turney:
Exploiting Context When Learning to Classify.
402-407 BibTeX
- Lena Gaga, Vassilis Moustakis, Giorgos Charissis, Stelios C. Orphanoudakis:
IDDD: An Inductive, Domain Dependent Decision Algorithm.
408-413 BibTeX
- José Luís Ferreira, Joaquim Correia, Thomas Jamet, Ernesto Costa:
An Application of Machine Learning in the Domain of Loan Analysis.
414-419 BibTeX
Neural Network Learning
Workshop and Panel Overview Papers
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by Michael Ley (ley@uni-trier.de)