描述
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.
书籍详情
格式
平装书
页数
441 页
语言
英语
已发布
Nov 17, 2010
出版商
Springer
版本
3 editions
ISBN-10
3642063683
ISBN-13
9783642063688