Algorithmic Learning Theory: 11th International Conference, ALT 2000 Sydney, Australia, December 11–13, 2000 Proceedings
William W. Cohen (auth.), Hiroki Arimura, Sanjay Jain, Arun Sharma (eds.)
This book constitutes the refereed proceedings of the 11th International Conference on Algorithmic Learning Theory, ALT 2000, held in Sydney, Australia in December 2000.
The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.
The 22 revised full papers presented together with three invited papers were carefully reviewed and selected from 39 submissions. The papers are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines.
Catégories:
Année:
2000
Edition:
1
Editeur::
Springer-Verlag Berlin Heidelberg
Langue:
english
Pages:
348
ISBN 10:
3540412379
ISBN 13:
9783540412373
Collection:
Lecture Notes in Computer Science 1968 : Lecture Notes in Artificial Intelligence
Fichier:
PDF, 4.00 MB
IPFS:
,
english, 2000
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