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

Empirical Methods for Artificial Intelligence (Bradford Books) Paul R. Cohen ebook
ISBN: 0262032252, 9780262032254
Page: 542
Format: pdf
Publisher: The MIT Press

Based on author's dissertation. PII: S0004-3702(98)00107-6 176 R. MIT Press/Bradford Books, 2 edition. An Integration of Empirical and Explanation-Based Learning Methods, Ph.D. Method (Bedau & Packard 1992 Bedau 1995 Bedau et al. Dawar, A., Grädel, E., and Kreutzer, S. Computational Intelligence, Learning, and Discovery Program. 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 .. Of the system, ai(t), where i labels the component and t labels time. We present empirical evidence that long-term evolution- ary dynamics . Empirical Methods for Artificial Intelligence. Of a book on Goal-Driven Learning, forthcoming from MIT Press/Bradford Books. (Artificial intelligence and computational theology). Iowa State Empirical Methods for Artificial Intelligence. Probabilistic methods to handle uncertainty in large artificial-intelligence (AI) In an empirical study, I showed that the use of these. Greiner/Artificial Intelligence 107 (1999) .