Computational learning theory : an introduction

＜図書＞
Computational learning theory : an introduction

責任表示	Martin Anthony & Norman Biggs
シリーズ	Cambridge tracts in theoretical computer science ; 30
データ種別	図書
出版情報	Cambridge ; New York : Cambridge University Press , 1992
本文言語	英語
大きさ	157 p. : ill. ; 26 cm
概要	Computational learning theory is one of the first attempts to construct a mathematical theory of a cognitive process. It has been a field of much interest and rapid growth in recent years. This text p...ovides a framework for studying a variety of algorithmic processes, such as those currently in use for training artificial neural networks. The authors concentrate on an approximate model for learning and gradually develop the ideas of efficiency considerations. Finally, they consider applications of the theory to artificial neural networks. An abundance of exercises and an extensive list of references round out the text. This volume provides a comprehensive review of the topic, including information drawn from logic, probability, and complexity theory. It forms a solid introduction to the theory of comptutational learning suitable for a broad spectrum of graduate students from theoretical computer science to mathematics. 続きを見る

状態	巻次	所蔵場所	請求記号	刷年	文庫名称	資料番号	コメント	予約・取寄	複写申込	自動書庫
		理系図自動書庫	007.1/A 49	1992		068252192005141		予約・取寄		出庫可能	予約・取寄		出庫可能

一般注記	Bibliographical references: p. [143]-149 Includes index
著者標目	*Anthony, Martin Biggs, Norman
書誌ID	1001070468
ISBN	0521416035
NCID	BA13723591
巻冊次	ISBN:0521416035
登録日	2009.09.17
更新日	2009.09.17