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Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings (Paperback, 1st ed. 2016) Loot Price: R2,396
Discovery Miles 23 960
Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings...

Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings (Paperback, 1st ed. 2016)

Ronald Ortner, Hans Ulrich Simon, Sandra Zilles

Series: Lecture Notes in Computer Science, 9925

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Loot Price R2,396 Discovery Miles 23 960 | Repayment Terms: R225 pm x 12*

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This book constitutes the refereed proceedings of the 27th International Conference on Algorithmic Learning Theory, ALT 2016, held in Bari, Italy, in October 2016, co-located with the 19th International Conference on Discovery Science, DS 2016. The 24 regular papers presented in this volume were carefully reviewed and selected from 45 submissions. In addition the book contains 5 abstracts of invited talks. The papers are organized in topical sections named: error bounds, sample compression schemes; statistical learning, theory, evolvability; exact and interactive learning; complexity of teaching models; inductive inference; online learning; bandits and reinforcement learning; and clustering.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Lecture Notes in Computer Science, 9925
Release date: September 2016
First published: 2016
Editors: Ronald Ortner • Hans Ulrich Simon • Sandra Zilles
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Paperback
Pages: 371
Edition: 1st ed. 2016
ISBN-13: 978-3-319-46378-0
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Computing & IT > Applications of computing > Databases > Data mining
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LSN: 3-319-46378-0
Barcode: 9783319463780

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