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. Ed(S): Hutter, Marcus; Stephan, Frank; Vovk, Vladimir; Zeugmann, Thomas - Algorithmic Learning Theory - 9783642161070 - V9783642161070
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Algorithmic Learning Theory

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Description for Algorithmic Learning Theory Paperback. Constitutes the refereed proceedings of the 21th International Conference on Algorithmic Learning Theory, ALT 2010, that was held in Canberra, Australia. Editor(s): Hutter, Marcus; Stephan, Frank; Vovk, Vladimir; Zeugmann, Thomas. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 421 pages, 45 black & white illustrations, biography. BIC Classification: JNV; UMB; UMX; UYQM. Category: (P) Professional & Vocational. Dimension: 231 x 155 x 25. Weight in Grams: 640.
This volume contains the papers presented at the 21st International Conf- ence on Algorithmic Learning Theory (ALT 2010), which was held in Canberra, Australia, October 6–8, 2010. The conference was co-located with the 13th - ternational Conference on Discovery Science (DS 2010) and with the Machine Learning Summer School, which was held just before ALT 2010. The tech- cal program of ALT 2010, contained 26 papers selected from 44 submissions and ?ve invited talks. The invited talks were presented in joint sessions of both conferences. ALT 2010 was dedicated to the theoretical foundations of machine learning and took place on ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
421
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
421
Place of Publication
Berlin, Germany
ISBN
9783642161070
SKU
V9783642161070
Shipping Time
Usually ships in 5 to 9 working days
Ref
99-3

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