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. Ed(S): Arimura, Hiroki; Jain, Sanjay; Sharma, Arun - Algorithmic Learning Theory - 9783540412373 - V9783540412373
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Algorithmic Learning Theory

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Description for Algorithmic Learning Theory Paperback. These papers on algorithmic learning theory are organized in topical sections on statistical learning, inductive logic programming, inductive inference, complexity, neural networks and other paradigms, support vector machines. Editor(s): Arimura, Hiroki; Jain, Sanjay; Sharma, Arun. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 348 pages, biography. BIC Classification: UMB; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 18. Weight in Grams: 505.
This volume contains all the papers presented at the Eleventh International C- ference on Algorithmic Learning Theory (ALT 2000) held at Coogee Holiday Inn, Sydney,Australia,11-13 December 2000. The conference was sponsored by the School of Computer Science and Engineering,University of New South Wales, and supported by the IFIP Working Group 1.4 on Computational Learning T- ory and the Computer Science Association (CSA) of Australia. In response to the call for papers 39 submissions were received on all aspects of algorithmic learning theory. Out of these 22 papers were accepted for p- sentation by the program committee. In addition,there were three ... Read more

Product Details

Format
Paperback
Publication date
2000
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
348
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
348
Place of Publication
Berlin, Germany
ISBN
9783540412373
SKU
V9783540412373
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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