Algorithmic Learning Theory

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Algorithmic Learning Theory

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Author : Sanjay Jain
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-09-26

Algorithmic Learning Theory written by Sanjay Jain and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-26 with Computers categories.

This book constitutes the refereed proceedings of the 16th International Conference on Algorithmic Learning Theory, ALT 2005, held in Singapore in October 2005. The 30 revised full papers presented together with 5 invited papers and an introduction by the editors were carefully reviewed and selected from 98 submissions. The papers are organized in topical sections on kernel-based learning, bayesian and statistical models, PAC-learning, query-learning, inductive inference, language learning, learning and logic, learning from expert advice, online learning, defensive forecasting, and teaching.

Algorithmic Learning Theory

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Author : Jyriki Kivinen
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-23

Algorithmic Learning Theory written by Jyriki Kivinen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-23 with Computers categories.

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

Algorithmic Learning Theory Ii

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Author : Setsuo Arikawa
language : en
Publisher: IOS Press
Release Date : 1992

Algorithmic Learning Theory Ii written by Setsuo Arikawa and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Algorithms categories.

Algorithmic Learning Theory

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Author : Nader H. Bshouty
language : en
Publisher: Springer
Release Date : 2012-10-01

Algorithmic Learning Theory written by Nader H. Bshouty and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-01 with Computers categories.

This book constitutes the refereed proceedings of the 23rd International Conference on Algorithmic Learning Theory, ALT 2012, held in Lyon, France, in October 2012. The conference was co-located and held in parallel with the 15th International Conference on Discovery Science, DS 2012. The 23 full papers and 5 invited talks presented were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on inductive inference, teaching and PAC learning, statistical learning theory and classification, relations between models and data, bandit problems, online prediction of individual sequences, and other models of online learning.

Algorithmic Learning Theory

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Author : Setsuo Arikawa
language : en
Publisher: Springer
Release Date : 1990

Algorithmic Learning Theory written by Setsuo Arikawa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with Computers categories.

Algorithmic Learning Theory

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Author : Marcus Hutter
language : en
Publisher: Springer
Release Date : 2007-10-11

Algorithmic Learning Theory written by Marcus Hutter and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-11 with Computers categories.

This book constitutes the refereed proceedings of the 18th International Conference on Algorithmic Learning Theory, ALT 2007, held in Sendai, Japan, October 1-4, 2007, co-located with the 10th International Conference on Discovery Science, DS 2007. The 25 revised full papers presented together with the abstracts of five invited papers were carefully reviewed and selected from 50 submissions. They are dedicated to the theoretical foundations of machine learning.

Algorithmic Learning Theory

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Author : Ricard Gavaldà
language : en
Publisher: Springer
Release Date : 2003-09-25

Algorithmic Learning Theory written by Ricard Gavaldà and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-25 with Computers categories.

This book constitutes the refereed proceedings of the 14th International Conference on Algorithmic Learning Theory, ALT 2003, held in Sapporo, Japan in October 2003. The 19 revised full papers presented together with 2 invited papers and abstracts of 3 invited talks were carefully reviewed and selected from 37 submissions. The papers are organized in topical sections on inductive inference, learning and information extraction, learning with queries, learning with non-linear optimization, learning from random examples, and online prediction.

Algorithmic Learning Theory

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Author : Osamu Watanabe
language : en
Publisher: Springer
Release Date : 2007-03-05

Algorithmic Learning Theory written by Osamu Watanabe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-03-05 with Computers categories.

This book constitutes the refereed proceedings of the 10th International Conference on Algorithmic Learning Theory, ALT'99, held in Tokyo, Japan, in December 1999. The 26 full papers presented were carefully reviewed and selected from a total of 51 submissions. Also included are three invited papers. The papers are organized in sections on Learning Dimension, Inductive Inference, Inductive Logic Programming, PAC Learning, Mathematical Tools for Learning, Learning Recursive Functions, Query Learning and On-Line Learning.

Algorithmic Learning Theory

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Author : Nicolò Cesa-Bianchi
language : en
Publisher: Springer Science & Business Media
Release Date : 2002-11-13

Algorithmic Learning Theory written by Nicolò Cesa-Bianchi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-11-13 with Computers categories.

This book constitutes the refereed proceedings of the 13th International Conference on Algorithmic Learning Theory, ALT 2002, held in Lübeck, Germany in November 2002. The 26 revised full papers presented together with 5 invited contributions and an introduction were carefully reviewed and selected from 49 submissions. The papers are organized in topical sections on learning Boolean functions, boosting and margin-based learning, learning with queries, learning and information extraction, inductive inference, inductive logic programming, language learning, statistical learning, and applications and heuristics.

Algorithmic Learning Theory

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Author : Klaus P. Jantke
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-10-20

Algorithmic Learning Theory written by Klaus P. Jantke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-10-20 with Computers categories.

Annotation This volume contains the papers that were presented at theThird Workshop onAlgorithmic Learning Theory, held in Tokyoin October 1992. In addition to 3invited papers, the volumecontains 19 papers accepted for presentation, selected from29 submitted extended abstracts. The ALT workshops have beenheld annually since 1990 and are organized and sponsored bythe Japanese Society for Artificial Intelligence. The mainobjective of these workshops is to provide an open forum fordiscussions and exchanges of ideasbetween researchers fromvarious backgrounds in this emerging, interdisciplinaryfield of learning theory. The volume is organized into partson learning via query, neural networks, inductive inference, analogical reasoning, and approximate learning.