説明
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.
本の詳細
形式
ペーパーバック
ページ数
441
言語
英語
公開されました
Nov 17, 2010
出版社
Springer
ISBN-10
3642063683
ISBN-13
9783642063688
ジャンル
アートと写真