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Algorithmic Learning Theory Ii


Algorithmic Learning Theory Ii
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Algorithmic Learning Theory Ii


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


Algorithmic Learning Theory
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Author : Ming Li
language : en
Publisher:
Release Date : 2001

Algorithmic Learning Theory written by Ming Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computer algorithms categories.




Algorithmic Learning Theory


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


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


Algorithmic Learning Theory
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Author :
language : en
Publisher:
Release Date : 2000

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 2000 with Computer algorithms categories.




Algorithmic Learning Theory


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


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


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.





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Author :
language : en
Publisher:
Release Date : 1997

written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Science categories.




Mathematical Reviews


Mathematical Reviews
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Author :
language : en
Publisher:
Release Date : 2005

Mathematical Reviews written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Mathematics categories.