Support Vector Machines: Theory and Applications
Download or Read eBook Support Vector Machines: Theory and Applications PDF 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.
| Author | : Lipo Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 456 |
| Release | : 2005-06-21 |
| ISBN-10 | : 3540243887 |
| ISBN-13 | : 9783540243885 |
| Rating | : 4/5 (87 Downloads) |
Book Synopsis Support Vector Machines: Theory and Applications by : Lipo Wang
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.
