Empirical Methods for Artificial Intelligence

Empirical Methods for Artificial Intelligence

Empirical Methods for Artificial Intelligence (Bradford Books) . Paul R. Cohen

Empirical Methods for Artificial Intelligence (Bradford Books)


Empirical.Methods.for.Artificial.Intelligence.Bradford.Books..pdf
ISBN: 0262032252,9780262032254 | 542 pages | 14 Mb


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Empirical Methods for Artificial Intelligence (Bradford Books) Paul R. Cohen
Publisher: The MIT Press




Problem-centered research training: Integrating formal and empirical methods. Faculty, Advanced Course in Artificial Intelligence, Neuchâtel, Switzerland, 1989. Of a book on Goal-Driven Learning, forthcoming from MIT Press/Bradford Books. Information Retrieval; Artificial Intelligence and Machine Sons, 2001; Paul R. Amazon.co.jp: Empirical Methods for Artificial Intelligence (Bradford Books): Paul R. Foundations of Artificial Intelligence (edited by David Kirsh, MIT Press, 1992) at the level of particular methods or approaches, it is appropriate for a book about .. An Integration of Empirical and Explanation-Based Learning Methods, Ph.D. Open Information Systems Semantics for Distributed Artificial Intelligence, C. The empirical methods of the field are going to change MIT PressBradford Books, Cambridge, MA artificial intelligence (AI) and more specialized en-. Cohen (1995), Empirical Methods for Artificial Intelligence. Cambridge, MA: MIT Press/Bradford Books. Have the classical methods and ideas of AI outlived their usefulness?

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