Support Vector Machines: Theory and Applications

Support Vector Machines: Theory and Applications
Author :
Publisher : Springer Science & Business Media
Total Pages : 456
Release :
ISBN-10 : 3540243887
ISBN-13 : 9783540243885
Rating : 4/5 (87 Downloads)

Book Synopsis Support Vector Machines: Theory and Applications by : Lipo Wang

Download or read book Support Vector Machines: Theory and Applications written by Lipo Wang and published by Springer Science & Business Media. This book was released on 2005-06-21 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: The support vector machine (SVM) has become one of the standard tools for machine learning and data mining. This carefully edited volume presents the state of the art of the mathematical foundation of SVM in statistical learning theory, as well as novel algorithms and applications. Support Vector Machines provides a selection of numerous real-world applications, such as bioinformatics, text categorization, pattern recognition, and object detection, written by leading experts in their respective fields.


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