From Statistics to Neural Networks : Theory and Pattern Recognition Applications /

This volume provides a unified approach to the study of predictive learning, i.e., generalization from examples. It contains an up-to-date review and in-depth treatment of major issues and methods related to predictive learning in statistics, Artificial Neural Networks (ANN), and pattern recognition...

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Bibliographic Details

Main Author:	Cherkassky, Vladimir
Corporate Author:	SpringerLink (Online service)
Other Authors:	Friedman, J. H. (Jerome H.), Wechsler, Harry
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg, 1994.
Series:	NATO ASI series. Computer and systems sciences ; 136.
Subjects:	Computer science. Artificial intelligence. Computer vision. Optical pattern recognition. Distribution (Probability theory) Statistics. Electronic books.
Online Access:	Connect to the full text of this electronic book