Author: Ingo Steinwart
Edition: 2008
Binding: Hardcover
ISBN: 0387772413
Publisher: Springer
Features:
Edition: 2008
Binding: Hardcover
ISBN: 0387772413
Publisher: Springer
Features:
Support Vector Machines (Information Science and Statistics)
This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. Search and download computer ebooks Support Vector Machines (Information Science and Statistics) for free.
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The authors present the basic ideas of SVMs together with the latest developments and current research questions in a unified style. They identify three reasons for the success of SVMs: their ability to learn well with only a very small number of free parameters, their robustness against several types of model violations and outliers, and their computational efficiency compared to several other methods. The book provides a unique in-depth treatment of both fundamental and recent material on SVMs that so far has been scattered in the literature. The book can thus serve as both a basis for graduate
Support Vector Machines Free
The book can thus serve as both a basis for graduate
