Support Vector Machines: Theory and Applications / Edition 1
by Lipo Wang
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,
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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 the respective fields.
Product Details
- ISBN-13:
- 9783642063688
- Publisher:
- Springer Berlin Heidelberg
- Publication date:
- 11/19/2010
- Series:
- Studies in Fuzziness and Soft Computing Series, #177
- Edition description:
- Softcover reprint of hardcover 1st ed. 2005
- Pages:
- 431
Table of Contents
| Support vector machines - an introduction | 1 | |
| Multiple model estimation for nonlinear classification | 49 | |
| Componentwise least squares support vector machines | 77 | |
| Active support vector learning with statistical queries | 99 | |
| Local learning vs. global learning : an introduction to maxi-min margin machine | 113 | |
| Active-set methods for support vector machines | 133 | |
| Theoretical and practical model selection methods for support vector classifiers | 159 | |
| Adaptive discriminant and quasiconformal kernel nearest neighbor classification | 181 | |
| Improving the performance of the support vector machine : two geometrical scaling methods | 205 | |
| An accelerated robust support vector machine algorithm | 219 | |
| Fuzzy support vector machines with automatic membership setting | 233 | |
| Iterative single data algorithm for training kernel machines from huge data sets : theory and performance | 255 | |
| Kernel discriminant learning with application to face recognition | 275 | |
| Fast color texture-based object detection in images : application to license plate localization | 297 | |
| Support vector machines for signal processing | 321 | |
| Cancer diagnosis and protein secondary structure prediction using support vector machines | 343 | |
| Gas sensing using support vector machines | 365 | |
| Application of support vector machines in inverse problems in ocean color remote sensing | 387 | |
| Application of support vector machine to the detection of delayed gastric emptying from electrogastrograms | 399 | |
| Tachycardia discrimination in implantable cardioverter defibrillators using support vector machines and bootstrap resampling | 413 |
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