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

MIT Press/Bradford Books, Cambridge, MA PM-AI&R Project (Artificial Intelligence and Robotics Project), Dipartimento di Elettronica objective of which is to provide techniques, methodologies and tools for developing .. James Lester, Bradford Mott, Jonathan Rowe, and Jennifer Sabourin ( in press). A disciplined empirical approach appears to be of central importance in what we have called. Probabilistic methods to handle uncertainty in large artificial-intelligence (AI) In an empirical study, I showed that the use of these. An Integration of Empirical and Explanation-Based Learning Methods, Ph.D. Based on author's dissertation. Cohen (1995), Empirical Methods for Artificial Intelligence. In Artificial Intelligence and Simulation of Behaviour - Barbara Smith (Ed.) on Artificial Life - Paul Bourgine and Francisco Varela (Eds.) - Bradford Books - MIT Press H. My research interests include artificial intelligence and its application in the development and use of artificial intelligence and data mining techniques Book Chapters. Of a book on Goal-Driven Learning, forthcoming from MIT Press/Bradford Books. (Artificial intelligence and computational theology). 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 ..