Algorithmic Learning Theory Ii
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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 : Setsuo Arikawa
language : en
Publisher:
Release Date : 2014-01-15
Algorithmic Learning Theory written by Setsuo Arikawa and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-15 with categories.
Algorithmic Learning Theory
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Author : Setsuo Arikawa
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-09-28
Algorithmic Learning Theory written by Setsuo Arikawa 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 1994-09-28 with Computers categories.
This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.) The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.
Algorithmic Learning Theory
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Author :
language : en
Publisher:
Release Date : 1990
Algorithmic Learning Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990 with categories.
Algorithmic Learning Theory
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Author : Shai Ben David
language : en
Publisher: Springer Science & Business Media
Release Date : 2004-09-23
Algorithmic Learning Theory written by Shai Ben David 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 2004-09-23 with Computers categories.
Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future data from the same phenomena. The papers in this volume cover a broad range of topics of current research in the ?eld of algorithmic learning theory. We have divided the 29 technical, contributed papers in this volume into eight categories (corresponding to eight sessions) re?ecting this broad range. The categories featured are Inductive Inf- ence, Approximate Optimization Algorithms, Online Sequence Prediction, S- tistical Analysis of Unlabeled Data, PAC Learning & Boosting, Statistical - pervisedLearning,LogicBasedLearning,andQuery&ReinforcementLearning. Below we give a brief overview of the ?eld, placing each of these topics in the general context of the ?eld. Formal models of automated learning re?ect various facets of the wide range of activities that can be viewed as learning. A ?rst dichotomy is between viewing learning as an inde?nite process and viewing it as a ?nite activity with a de?ned termination. Inductive Inference models focus on inde?nite learning processes, requiring only eventual success of the learner to converge to a satisfactory conclusion.
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 :
language : en
Publisher:
Release Date : 1994
Algorithmic Learning Theory written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Analogy categories.
Algorithmic Learning Theory
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Author : Arun K. Sharma
language : en
Publisher: Springer Science & Business Media
Release Date : 1996-10-09
Algorithmic Learning Theory written by Arun K. Sharma 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 1996-10-09 with Computers categories.
This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996. The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.
Algorithmic Learning Theory
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Author : Kamalika Chaudhuri
language : en
Publisher: Springer
Release Date : 2015-10-04
Algorithmic Learning Theory written by Kamalika Chaudhuri and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-04 with Computers categories.
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. The 23 full papers presented in this volume were carefully reviewed and selected from 44 submissions. In addition the book contains 2 full papers summarizing the invited talks and 2 abstracts of invited talks. The papers are organized in topical sections named: inductive inference; learning from queries, teaching complexity; computational learning theory and algorithms; statistical learning theory and sample complexity; online learning, stochastic optimization; and Kolmogorov complexity, algorithmic information theory.
Algorithmic Learning Theory
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Author : Ricard Gavalda
language : en
Publisher: Springer Science & Business Media
Release Date : 2003-10-07
Algorithmic Learning Theory written by Ricard Gavalda 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 2003-10-07 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.