Systems that learn : an introduction to learning theory for cognitive and computer scientists

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Systems that learn : an introduction to learning theory for cognitive and computer scientists / Daniel N. Osherson, Michael Stob, Scott Weinstein

資料種別:

図書

出版情報:

Cambridge, Mass. : MIT Press, 1986

形態:

ix, 205 p. ; 24 cm

シリーズ名:

The MIT Press series in learning, development, and conceptual change <BA00161262>

著者名:

ISBN:

9780262150309 [0262150301]
9780262650243 [026265024X] (: pbk)

書誌ID:

BA00161251

子書誌情報

フルテキスト

所蔵情報

他の版・巻

書誌詳細

注記:

"A Bradford book."
Includes bibliographical references (p. [195]-197) and indexes

主題:

Human information processing--Mathematical models; Learning, Psychology of; Learning--Mathematical aspects

言語:

英語

目次情報:

Series Foreword

Preface

Acknowledgments

How to Use This Book

Introduction

Identification / I：

Fundamentals of Learning Theory / 1：

Central Theorems on Identification / 2：

Learning Theory and Natural Language / 3：

Identification Generalized / II：

Strategies / 4：

Environments / 5：

Criteria of Learning / 6：

Exact Learning / 7：

Other Paradigms Of Learning / III：

Efficient Learning / 8：

Sufficient Input for Learning / 9：

Topological Perspective on Learning / 10：

Bibliography

List of Symbols

Name Index

Subject Index

Series Foreword

Preface

Acknowledgments

How to Use This Book

Introduction

Identification / I：

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