Machine learning / Tom M. Mitchell
Tipo de material:![Texto](/opac-tmpl/lib/famfamfam/BK.png)
Contenidos:
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
Tipo de ítem | Biblioteca actual | Colección | Signatura | Copia número | Estado | Fecha de vencimiento | Código de barras |
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COACALCO | Colección General | QA76.9 M681m (Navegar estantería(Abre debajo)) | Ej. 1 | No para préstamo | CCL004489 | |
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COACALCO | Colección General | QA76.9 M681m (Navegar estantería(Abre debajo)) | Ej. 2 | Disponible | CCL004490 | |
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COACALCO | Colección General | QA76.9 M681m (Navegar estantería(Abre debajo)) | Ej. 3 | Disponible | CCL004491 |
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
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