Can I read Support Vector Machines (Information Science and Statistics) on EtoBox?

Support Vector Machines (Information Science and Statistics) by Andreas Christmann, Ingo Steinwart (auth.) is a nonfiction available to read on EtoBox.

What is Support Vector Machines (Information Science and Statistics) about?

This book explains the principles that make support vector machines (SVMs) a successful modelling and prediction tool for a variety of applications. 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. Since their appearance in the early nineties, support vector machines and related kernel-based methods have been successfully applied in diverse fields of application such as bioinformatics, fraud detection, construction of insurance tariffs, direct marketing, and data and text mining. As a consequence, SVMs now play an important role in statistical machine learning and are used not only by statisticians, mathematicians, and computer scientists, but also by engineers and data analysts. 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

Who reads Support Vector Machines (Information Science and Statistics)?

Author

Andreas Christmann, Ingo Steinwart (auth.)

Publisher

Springer-Verlag New York

Published

2008

Language

EN

ISBN

9780387772424

Category

nonfiction

Subjects

Mathematics, Engineering, Science

Rating

4.6 / 5 (5 ratings)

Updated

2026-03-13