| Support Vector Machines: Theory and Applications Contributor(s): Wang, Lipo (Editor) |
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ISBN: 3642063683 ISBN-13: 9783642063688 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: November 2010 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Computer Vision & Pattern Recognition - Science | Life Sciences - Biology |
| Dewey: 006.3 |
| Series: Studies in Fuzziness and Soft Computing |
| Physical Information: 431 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |