Learning from Data: Concepts, Theory, and Methods, Second Edition
Copyright © 2007 John Wiley & Sons, Inc.
Author(s): Vladimir Cherkassky, Filip Mulier
Published Online: 20 NOV 2006
Print ISBN: 9780471681823
Online ISBN: 9780470140529
About this Book
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 from statistics, neural networks, and fuzzy logic can be applied-showing that a few fundamental principles underlie most new methods being proposed today in statistics, engineering, and computer science. Complete with over one hundred illustrations, case studies, and examples making this an invaluable text.