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Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings (Paperback, 2013 ed.) Loot Price: R1,557
Discovery Miles 15 570
Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings (Paperback,...

Algorithmic Learning Theory - 24th International Conference, ALT 2013, Singapore, October 6-9, 2013, Proceedings (Paperback, 2013 ed.)

Sanjay Jain, Remi Munos, Frank Stephan, Thomas Zeugmann

Series: Lecture Notes in Artificial Intelligence, 8139

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Loot Price R1,557 Discovery Miles 15 570 | Repayment Terms: R146 pm x 12*

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This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed and selected from 39 submissions. In addition the book contains 3 full papers of invited talks. The papers are organized in topical sections named: online learning, inductive inference and grammatical inference, teaching and learning from queries, bandit theory, statistical learning theory, Bayesian/stochastic learning, and unsupervised/semi-supervised learning.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Artificial Intelligence, 8139
Release date: August 2013
First published: 2013
Editors: Sanjay Jain • Remi Munos • Frank Stephan • Thomas Zeugmann
Dimensions: 235 x 155 x 24mm (L x W x T)
Format: Paperback
Pages: 397
Edition: 2013 ed.
ISBN-13: 978-3-642-40934-9
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 3-642-40934-2
Barcode: 9783642409349

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