Learning from Data —— Concepts, Theory, and Methods

----- 数据经验：概念、理论与方法

ISBN: 9780471681823 出版年：2007 页码：558 Vladimir Cherkassky Filip M Mulier Wiley

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.