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George Mason University - FALL 2010 | ||
Section 001 | ||
 | Learning from Data: Concepts, Theory, and Methods (2nd Edition) by Vladimir S. Cherkassky, Filip M. Mulier, Mulier Cherkassky Hardcover, 538 Pages, Published 2007 ISBN-10: 0-471-68182-2 / 0471681822 ISBN-13: 978-0-471-68182-3 / 9780471681823 An interdisciplinary framework for learning methodologies covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods | |