Editors:
Focus on current developments in the field of Support Vector Machines
Illustrates critical applications of support vector machines to important real world problems
Provides critical review of the state-of-the-art techniques on SVM, such as domain transfer SVM, object recognition, soft biometrics, and biomedical applications
Includes supplementary material: sn.pub/extras
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (8 chapters)
-
Front Matter
About this book
Reviews
From the book reviews:
“The book brings substantial contributions to the field of SVMs from both theoretical and practical points of view. The concepts and methods are presented in a clear and accessible way, and the illustrative examples and applications provide a valuable source of inspiration for similar developments. … This book is of considerable value to researchers in the fields of machine learning, data mining, and statistical pattern recognition.” (L. State, Computing Reviews, August, 2014)Editors and Affiliations
-
Honeywell, Golden Valley, USA
Yunqian Ma
-
West Virginia University, Morgantown, USA
Guodong Guo
About the editors
Bibliographic Information
Book Title: Support Vector Machines Applications
Editors: Yunqian Ma, Guodong Guo
DOI: https://doi.org/10.1007/978-3-319-02300-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Hardcover ISBN: 978-3-319-02299-4Published: 03 March 2014
Softcover ISBN: 978-3-319-34329-7Published: 03 September 2016
eBook ISBN: 978-3-319-02300-7Published: 12 February 2014
Edition Number: 1
Number of Pages: VII, 302
Number of Illustrations: 31 b/w illustrations, 56 illustrations in colour
Topics: Signal, Image and Speech Processing, Computer Communication Networks, Complexity, Computational Intelligence, Computer Systems Organization and Communication Networks, Communications Engineering, Networks