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Machine Learning: Ecml'97: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings Paperback - 1997 - 1997th Edition
by Maarten Van Someren (Editor); Gerhard Widmer (Editor)
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Machine learning research on concept formation has mostly concentrated on inducing definitions of concepts from examples (see e.g. [3] It is assumed that the necessary conceptualisations have been performed by a teacher and that the learning system gets positive and negative examples of the concepts to be learned.
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- Title Machine Learning: Ecml'97: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings
- Author Maarten Van Someren (Editor); Gerhard Widmer (Editor)
- Binding Paperback
- Edition number 1997th
- Edition 1997
- Pages 366
- Volumes 1
- Language ENG
- Publisher Springer
- Date 1997-04-09
- ISBN 9783540628583 / 3540628584
- Weight 1.17 lbs (0.53 kg)
- Dimensions 9.21 x 6.14 x 0.78 in (23.39 x 15.60 x 1.98 cm)
- Library of Congress Catalog Number 97013121
- Dewey Decimal Code 006.31
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Machine Learning: ECML'97: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings (Lecture Notes in ... / Lecture Notes in Artificial Intelligence)
by Someren, Maarten van [Editor]; Widmer, Gerhard [Editor];
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Machine Learning: ECML'97: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings (Lecture Notes in ... / Lecture Notes in Artificial Intelligence)
by Editor-Maarten van Someren; Editor-Gerhard Widmer
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Machine Learning: ECML'97 : 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings
by Maarten van Someren
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Machine Learning: ECML'97: 9th European Conference on Machine Learning, Prague, Czech Republic, April 23 - 25, 1997, Proceedings
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Paperback / softback. New. This book constitutes the refereed proceedings of the Ninth European Conference on Machine Learning, ECML-97, held in Prague, Czech Republic, in April 1997. This volume presents 26 revised full papers selected from a total of 73 submissions. The volume covers the whole spectrum of current machine learning issues.
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