Machine Learning
1. Introduction -- 2. Concept Learning and the General-to-Specific Ordering -- 3. Decision Tree Learning -- 4. Artificial Neural Networks -- 5. Evaluating Hypotheses -- 6. Bayesian Learning -- 7. Computational Learning Theory -- 8. Instance-Based Learning -- 9. Genetic Algorithms -- 10. Learning Set...
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| Autor principal: | |
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| Formato: | Livro |
| Idioma: | Undetermined |
| Publicado em: |
NY.
McGraw-Hill
1997
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| Assuntos: | |
| Acesso em linha: | http://lrc.tdmu.edu.vn/opac/search/detail.asp?aID=2&ID=30877 |
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| Thư viện lưu trữ: | Trung tâm Học liệu Trường Đại học Thủ Dầu Một |
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| Resumo: | 1. Introduction -- 2. Concept Learning and the General-to-Specific Ordering -- 3. Decision Tree Learning -- 4. Artificial Neural Networks -- 5. Evaluating Hypotheses -- 6. Bayesian Learning -- 7. Computational Learning Theory -- 8. Instance-Based Learning -- 9. Genetic Algorithms -- 10. Learning Sets of Rules -- 11. Analytical Learning -- 12. Combining Inductive and Analytical Learning -- 13. Reinforcement Learning.; Includes bibliographical references and indexes |
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| Descrição Física: | xvii, 414 p. |