Algorithmic Learning Theory, Setsuo Arikawa; Arun K. Sharma

Автор: Naoki Abe; Roni Khardon; Thomas Zeugmann
Название: Algorithmic Learning Theory
ISBN: 3540428755 ISBN-13(EAN): 9783540428756
Издательство: Springer
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Цена: 69870.00 T
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Описание: 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. Cohen of the University of Massachusetts at Amherst, USA, and the joint invited talk for ALT 2001 and DS 2001 presented by Setsuo Arikawa of Kyushu University, Japan.

Автор: Osamu Watanabe; Takashi Yokomori
Название: Algorithmic Learning Theory
ISBN: 3540667482 ISBN-13(EAN): 9783540667483
Издательство: Springer
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Цена: 74530.00 T
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Описание: ThisvolumecontainsallthepaperspresentedattheInternationalConferenceon Algorithmic Learning Theory 1999 (ALT'99), held at Waseda University Int- nationalConferenceCenter, Tokyo, Japan, December 6?8,1999.Theconference was sponsored by the Japanese Society for Arti cial Intelligence (JSAI). In response to the call for papers, 51 papers on all aspects of algorithmic learning theory and related areas were submitted, of which 26 papers were - lected for presentation by the program committee based on their originality, quality, and relevance to the theory of machine learning. In addition to these regular papers, this volume contains three papers of invited lectures presented byKatharinaMorikoftheUniversityofDortmund, RobertE.SchapireofAT&T Labs, Shannon Lab., and Kenji Yamanishi of NEC, C&C Media Research Lab. ALT'99 is not just one of the ALT conference series, but this conference marks the tenth anniversary in the series that was launched in Tokyo, in Oc- ber 1990, for the discussion of research topics on all areas related to algorithmic learning theory. The ALT series was renamedlast year from\ALT workshop"to \ALT conference", expressing its wider goalof providing an ideal forum to bring together researchers from both theoretical and practical learning communities, producing novel concepts and criteria that would bene t both. This movement wasre?ectedinthepaperspresentedatALT'99, wheretherewereseveralpapers motivated by application oriented problems such as noise, data precision, etc. Furthermore, ALT'99 benet ed from being held jointly with the 2nd Inter- tional Conference on Discovery Science (DS'99), the conference for discussing, among other things, more applied aspects of machine learning. Also, we could celebrate the tenth anniversary of the ALT series with researchers from both theoretical and practical communities.

Автор: Ming Li; Akira Maruoka
Название: Algorithmic Learning Theory
ISBN: 3540635777 ISBN-13(EAN): 9783540635772
Издательство: Springer
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Цена: 83850.00 T
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Описание: This proceedings volume presents 26 revised full papers and three invited papers. Among the topics addressed are PAC learning, learning algorithms, inductive learning, inductive inference, decision procedures, language learning, and game theoretical aspects of computational learning theory.

Автор: Hiroki Arimura; Sanjay Jain; Arun Sharma
Название: Algorithmic Learning Theory
ISBN: 3540412379 ISBN-13(EAN): 9783540412373
Издательство: Springer
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Цена: 65210.00 T
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Описание: 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.

Автор: Vladimir Vapnik
Название: The Nature of Statistical Learning Theory
ISBN: 1441931600 ISBN-13(EAN): 9781441931603
Издательство: Springer
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Цена: 139750.00 T
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Описание: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics.

Автор: Shai Ben-David
Название: Computational Learning Theory
ISBN: 3540626859 ISBN-13(EAN): 9783540626855
Издательство: Springer
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Описание: This volume presents 25 revised full papers selected from a total of 36 submissions to the Third European Conference on Computational Learning Theory, EuroCOLT `97. It spans the whole spectrum of computational learning theory, with an emphasis on mathematical models of machine learning.

Автор: David Helmbold; Bob Williamson
Название: Computational Learning Theory
ISBN: 3540423435 ISBN-13(EAN): 9783540423430
Издательство: Springer
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Цена: 97820.00 T
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Описание: This volume constitutes the refereed proceedings of the 14th Annual and 5th European Conferences on Computational Learning Theory, COLT/EuroCOLT 2001. All current aspects of computational learning and its applications in a variety of fields are addressed.

Автор: Anthony
Название: Computational Learning Theory
ISBN: 0521599229 ISBN-13(EAN): 9780521599221
Издательство: Cambridge Academ
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Цена: 46470.00 T
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Описание: This is a self contained volume in which the authors concentrate on the `probably approximately correct model`. It will therefore form an introduction to the theory of computational learning, suitable for a broad spectrum of graduate students from theoretical computer science and mathematics.