An introduction to computational learning theory /
Guardado en:
| Autor principal: | |
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| Otros Autores: | |
| Formato: | Libro |
| Lenguaje: | Inglés |
| Publicado: |
Cambridge ; London :
MIT,
1994
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| Materias: | |
| Aporte de: | Registro referencial: Solicitar el recurso aquí |
Tabla de Contenidos:
- 1. The probably approximately correct learning model. 2. Occam's razor. 3. The vapnik-chervonenkis dimension. 4. Weak and strong learning. 5. Learning in the presence of noise. 6. Inherent unpredictability. 7. Reducibility in PAC learning. 8. Learning finite automata by experimentation. 9. Appendix: some tools for probabilistic analysis.