Algorithmic Learning Theory, Hiroki Arimura; Sanjay Jain; Arun Sharma

Автор: Setsuo Arikawa; Arun K. Sharma
Название: Algorithmic Learning Theory
ISBN: 3540618635 ISBN-13(EAN): 9783540618638
Издательство: Springer
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Описание: Covering all areas related to algorithmic learning theory (ALT), ranging from theoretical foundations of machine learning to applications in several areas, this text presents papers from a workshop held on ALT in Sydney, in October 1996.

Автор: Kamalika Chaudhuri; CLAUDIO GENTILE; Sandra Zilles
Название: Algorithmic Learning Theory
ISBN: 331924485X ISBN-13(EAN): 9783319244853
Издательство: Springer
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Описание: This book constitutes the proceedings of the 26th International Conference on Algorithmic Learning Theory, ALT 2015, held in Banff, AB, Canada, in October 2015, and co-located with the 18th International Conference on Discovery Science, DS 2015.

Автор: Ming Li; Akira Maruoka
Название: Algorithmic Learning Theory
ISBN: 3540635777 ISBN-13(EAN): 9783540635772
Издательство: Springer
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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: Osamu Watanabe; Takashi Yokomori
Название: Algorithmic Learning Theory
ISBN: 3540667482 ISBN-13(EAN): 9783540667483
Издательство: Springer
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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: Sanjay Jain; R?mi Munos; Frank Stephan; Thomas Zeu
Название: Algorithmic Learning Theory
ISBN: 3642409342 ISBN-13(EAN): 9783642409349
Издательство: Springer
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Описание: This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013.

Автор: Ricard Gavalda; Gabor Lugosi; Thomas Zeugmann; San
Название: Algorithmic Learning Theory
ISBN: 3642044131 ISBN-13(EAN): 9783642044137
Издательство: Springer
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Описание: The papers are divided into topical sections of papers on online learning, learning graphs, active learning and query learning, statistical learning, inductive inference, and semisupervised and unsupervised learning.

Автор: Toby Walsh
Название: Algorithmic Decision Theory
ISBN: 3319231138 ISBN-13(EAN): 9783319231136
Издательство: Springer
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Описание: This book constitutes the thoroughly refereed conference proceedings of the 4th International Conference on Algorithmic Decision Theory , ADT 2015, held in September 2015 in Lexington, USA. The 32 full papers presented were carefully selected from 76 submissions. The papers are organized in topical sections such as preferences;

Автор: Naoki Abe; Roni Khardon; Thomas Zeugmann
Название: Algorithmic Learning Theory
ISBN: 3540428755 ISBN-13(EAN): 9783540428756
Издательство: Springer
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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: Nicol? Cesa-Bianchi; Masayuki Numao; R?diger Reisc
Название: Algorithmic Learning Theory
ISBN: 3540001700 ISBN-13(EAN): 9783540001706
Издательство: Springer
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Описание: Compiled from the proceedings of the 13th International Conference on Algorithmic Learning Theory, this volume contains 31 papers. Coverage includes Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, and inductive inference.