Learning from Data: Concepts, Theory, and Methods

Hardcover
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Author: Vladimir Cherkassky

ISBN-10: 0471681822

ISBN-13: 9780471681823

Category: Signal Processing - General & Miscellaneous

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...

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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. Technometrics This book contains considerable information on the concept of statistical learning theory.... However, some may find its presentation difficult to follow...

PrefaceNotation1Introduction12Problem Statement, Classical Approaches, and Adaptive Learning153Regularization Framework594Statistical Learning Theory925Nonlinear Optimization Strategies1306Methods for Data Reduction and Dimensionality Reduction1617Methods for Regression2158Classification3039Support Vector Machines35310Fuzzy Systems388App. AReview of Nonlinear Optimization423App. BEigenvalues and Singular Value Decomposition431Index437

\ From the Publisher"I think Learning From Data is a very valuable volume. I will recommend it to my graduate students." (Journal of the American Statistical Association, March 2009)\ "The broad spectrum of information it offers is beneficial to many field of research. The selection of topics is good, and I believe that many researchers and practioners will find this book useful." (Technometrics, May 2008)\ "The authors have succeeded in summarizing some of the recent trends and future challenges in different learning methods, including enabling technologies and some interesting practical applications." (Computing Reviews, May 22, 2008)\ \ \ \ \ \ TechnometricsThis book contains considerable information on the concept of statistical learning theory.... However, some may find its presentation difficult to follow...\ \ \ TechnometricsThis book contains considerable information on the concept of statistical learning theory.... However, some may find its presentation difficult to follow...\ \