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. Ed(S): Jain, Sanjay; Munos, Remi; Stephan, Frank; Zeugmann, Thomas - Algorithmic Learning Theory - 9783642409349 - V9783642409349
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Algorithmic Learning Theory

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Description for Algorithmic Learning Theory paperback. Editor(s): Jain, Sanjay; Munos, Remi; Stephan, Frank; Zeugmann, Thomas. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 415 pages, 30 black & white illustrations, biography. BIC Classification: UMB; UYA; UYQ; UYQP; UYZG. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 24. Weight in Grams: 635.
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.

Product Details

Format
Paperback
Publication date
2013
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
415
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
397
Place of Publication
Berlin, Germany
ISBN
9783642409349
SKU
V9783642409349
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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