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. Ed(S): Abe, Naoki; Khardon, Roni; Zeugmann, Thomas - Algorithmic Learning Theory - 9783540428756 - V9783540428756
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Algorithmic Learning Theory

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Description for Algorithmic Learning Theory Paperback. These are the proceedings of the 12th International Conference on Algorithmic Learning Theory. The papers are in sections on complexity of learning, support vector machines, new learning models, online learning, inductive inference, refutable inductive inference, learning structures and languages. Editor(s): Abe, Naoki; Khardon, Roni; Zeugmann, Thomas. Series: Lecture Notes in Computer Science. Num Pages: 400 pages, biography. BIC Classification: UMB; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 20. Weight in Grams: 1230.
This volume contains the papers presented at the 12th Annual Conference on Algorithmic Learning Theory (ALT 2001), which was held in Washington DC, USA, during November 25–28, 2001. The main objective of the conference is to provide an inter-disciplinary forum for the discussion of theoretical foundations of machine learning, as well as their relevance to practical applications. The conference was co-located with the Fourth International Conference on Discovery Science (DS 2001). The volume includes 21 contributed papers. These papers were selected by the program committee from 42 submissions based on clarity, signi?cance, o- ginality, and relevance to theory and practice ... Read more

Product Details

Format
Paperback
Publication date
2001
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
400
Condition
New
Series
Lecture Notes in Computer Science
Number of Pages
388
Place of Publication
Berlin, Germany
ISBN
9783540428756
SKU
V9783540428756
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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