Support Vector Machines: Theory and Applications
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 Ma...
Kaydedildi:
| Yazar: | |
|---|---|
| Materyal Türü: | Livre numérique |
| Dil: | Anglais |
| Baskı/Yayın Bilgisi: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Edisyon: | 1st ed. 2005. |
| Seri Bilgileri: | Studies in Fuzziness and Soft Computing
177 |
| Online Erişim: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Not: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540243885 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783642063688 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540807032 • Support Vector Machines: Theory and Applications, Texte imprimé, 9783540243885 |
İçindekiler:
- From the contents: Support Vector Machines An Introduction Multiple Model Estimation for Nonlinear Classification Componentwise Least Squares Support Vector Machines Active Support Vector Learning with Statistical Queries Local Learning vs. Global Learning: An Introduction to Maxi-Min Margin Machine Active-Set Methods for Support Vector Machines Theoretical and Practical Model Selection Methods for Support Vector Classifiers Adaptive Discriminant and Quasiconformal Kernel Nearest Neighbor Classification Improving the Performance of the Support Vector Machine: Two Geometrical Scaling Methods An Accelerated Robust Support Vector Machine Algorithm Fuzzy Support Vector Machines with Automatic Membership Setting Iterative Single Data Algorithm for Training Kernel Machines from Huge Data Sets: Theory and Performance Kernel Discriminant Learning with Application to Face Recognition Fast Color Texture-based Object Detection in Images: Application to License Plate Localization