TY - BOOK
T1 - Learning from Data
T2 - Concepts, Theory, and Methods: Second Edition
AU - Cherkassky, Vladimir
AU - Mulier, Filip
PY - 2006/11/20
Y1 - 2006/11/20
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84889408244&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84889408244&partnerID=8YFLogxK
U2 - 10.1002/9780470140529
DO - 10.1002/9780470140529
M3 - Book
AN - SCOPUS:84889408244
SN - 9780471681823
BT - Learning from Data
PB - John Wiley and Sons
ER -