An introduction to computational learning theory.

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Detalles Bibliográficos
Autor principal:	Kearns, Michael J.
Otros Autores:	Vazirani, Umesh V.
Formato:	Libro
Lenguaje:	Español
Publicado:	Cambridge, Mass. : MIT Press, c1994.
Materias:	ALGORITMOS REDES NEURALES (COMPUTADORES) INTELIGENCIA ARTIFICIAL
Aporte de:	Registro referencial: Solicitar el recurso aquí Bibliotecas (UNLPam) de Universidad Nacional de La Pampa

Tabla de Contenidos:

Contenido: The probably approximately correct learning model. Occam's Razor. The Vapnik-Chervonenkis Dimension. Weak and strong learning. Learning in the presence of noise. Inherent unpredictability. Reducibility in PAC learning. Learning finite automata by experimentation. Appendix: some tools for probabilistic analysis.