Algorithmic learning

著者

• Hutchinson, Alan

書誌事項

Algorithmic learning

Alan Hutchinson

（Graduate texts in computer science, 2）

Clarendon Press , Oxford University Press, c1994

• : pbk
• : hc

注記

Includes bibliographical references (p. [421]-428) and index

内容説明・目次

巻冊次

: hc ISBN 9780198537663

内容説明

For several decades, machine learning has been the province of a few enthusiasts. Like other forms of artificial intelligence, it held great promise and no more. This situation is changing. We are now familiar with a wide range of algorithms, and a theory outlining which algorithm will suit which purpose is beginning to emerge. The science of machine learning is coming of age. Algorithmic learning provides a thorough introduction to all aspects of the subject. The text presents more than thirty algorithms, together with discussions and comparisons, underlying methods, examples, and exercises. The last chapter summarizes several approaches to learning theory and also discusses representations, bias, and other topics of current research. This book will be valuable both as a study text for students and as a reference for practitioners seeking an up-to-date review of this changing field.

目次

1: Characteristics of learning algorithms. 2: Some basic ideas. 3: Learning algorithms with numeric input. 4: Association and neural networks. 5: Clustering and correlation. 6: Pattern matching and generalization. 7: Learning in rule-based systems. 8: Further developments. References. Index

巻冊次

: pbk ISBN 9780198538486

内容説明

For several decades, machine learning has been the province of a few enthusiasts. Like other forms of artificial intelligence, it held great promise and no more. This situation is changing. We are now familiar with a wide range of algorithms, and a theory outlining which algorithm will suit which purpose is beginning to emerge. The science of machine learning is coming of age. "Algorithmic Learning" provides a thorough introduction to all aspects of the subject. The text presents more than thirty algorithms, together with discussions and comparisons, underlying methods, examples, and exercises. The last chapter summarizes several approaches to learning theory and also discusses representations, bias, and other topics of current research. This book will be valuable both as a study text for students and as a reference for practitioners seeking an up-to-date review of this changing field.

目次

• Characteristics of learning algorithms
• some basic ideas
• learning algorithms with numeric input
• association and neural networks
• clustering and correlation
• pattern matching and generalization
• learning in rule-based systems
• further developments.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA22439034
• ISBN:
  • 0198538480
  • 0198537662
• LCCN: 93029815
• 出版国コード: uk
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Oxford,New York
• ページ数/冊数: xxvi, 434 p.
• 大きさ: 24 cm
• 分類:
  • LCC : Q325.5
  • DC20 : 006.3/1/015118
• 件名:
  • LCSH : Machine learning
  • LCSH : Algorithms
• 親書誌ID:
  • BA11439757