Machine learning

著者

• Mitchell, Tom Michael

書誌事項

Machine learning

Tom M. Mitchell

（McGraw-Hill computer science series, Artificial intelligence）

McGraw-Hill, c1997

注記

Includes bibliographical references and indexes

内容説明・目次

内容説明

This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience. The book is intended to support upper level undergraduate and introductory level graduate courses in machine learning.

目次

Chapter 1. IntroductionChapter 2. Concept Learning and the General-to-Specific OrderingChapter 3. Decision Tree LearningChapter 4. Artificial Neural NetworksChapter 5. Evaluating HypothesesChapter 6. Bayesian LearningChapter 7. Computational Learning TheoryChapter 8. Instance-Based LearningChapter 9. Inductive Logic ProgrammingChapter 10. Analytical LearningChapter 11. Combining Inductive and Analytical LearningChapter 12. Reinforcement Learning.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BA30444721
• ISBN:
  • 9780070428072
• LCCN: 97007692
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: New York
• ページ数/冊数: xvii, 414 p.
• 大きさ: 25 cm
• 分類:
  • LCC : Q325.5
  • DC21 : 006.3/1
• 件名:
  • LCSH : Machine learning
  • LCSH : Computer algorithms
• 親書誌ID:
  • BA00039928