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...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2005. |
| Edice: | Studies in Fuzziness and Soft Computing
177 |
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
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 |
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| 100 | 1 | |a Wang, Lipo. | |
| 245 | 1 | 0 | |a Support Vector Machines: Theory and Applications |c edited by Lipo Wang. |
| 250 | |a 1st ed. 2005. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 177 |x 1860-0808 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 | ||
| 700 | 1 | |a Wang, Lipo. |4 edt | |
| 776 | 0 | |t Support Vector Machines: Theory and Applications |b Texte imprimé |z 9783540243885 | |
| 776 | 0 | |t Support Vector Machines: Theory and Applications |b Texte imprimé |z 9783642063688 | |
| 776 | 0 | |t Support Vector Machines: Theory and Applications |b Texte imprimé |z 9783540807032 | |
| 776 | 0 | |t Support Vector Machines: Theory and Applications |b Texte imprimé |z 9783540243885 | |
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