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Learning Theory

17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Learning Theory John Shawe-Taylor
Koda Libristo: 01559528
Založba Springer, Berlin, november 2003
This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COL... Celoten opis
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This book constitutes the refereed proceedings of the 17th Annual Conference on Learning Theory, COLT 2004, held in Banff, Canada in July 2004.The 46 revised full papers presented were carefully reviewed and selected from a total of 113 submissions. The papers are organized in topical sections on economics and game theory, online learning, inductive inference, probabilistic models, Boolean function learning, empirical processes, MDL, generalisation, clustering and distributed learning, boosting, kernels and probabilities, kernels and kernel matrices, and open problems.

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O knjigi

Polni naslov Learning Theory
Avtor John Shawe-Taylor, Yoram Singer
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2004
Število strani 654
EAN 9783540222828
ISBN 3540222820
Koda Libristo 01559528
Založba Springer, Berlin
Teža 920
Mere 156 x 234 x 33

Kategorije

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Computer programming / software engineering > Algorithms & data structures
Computing & Information Technology > Computer science > Mathematical theory of computation
Computing & Information Technology > Computer science > Artificial intelligence
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