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» Which Is the Best Multiclass SVM Method
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MCS
2005
Springer
13 years 10 months ago
Which Is the Best Multiclass SVM Method? An Empirical Study
Abstract. Multiclass SVMs are usually implemented by combining several two-class SVMs. The one-versus-all method using winner-takes-all strategy and the one-versus-one method imple...
Kaibo Duan, S. Sathiya Keerthi
INFORMATICALT
2011
91views more  INFORMATICALT 2011»
12 years 11 months ago
A Quadratic Loss Multi-Class SVM for which a Radius-Margin Bound Applies
To set the values of the hyperparameters of a support vector machine (SVM), the method of choice is cross-validation. Several upper bounds on the leave-one-out error of the pattern...
Yann Guermeur, Emmanuel Monfrini
DMIN
2008
176views Data Mining» more  DMIN 2008»
13 years 6 months ago
Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution
Support Vector Machines (SVM) have gained profound interest amidst the researchers. One of the important issues concerning SVM is with its application to large data sets. It is rec...
Jair Cervantes, Xiaoou Li, Wen Yu
ICML
2004
IEEE
14 years 5 months ago
A hierarchical method for multi-class support vector machines
We introduce a framework, which we call Divide-by-2 (DB2), for extending support vector machines (SVM) to multi-class problems. DB2 offers an alternative to the standard one-again...
Volkan Vural, Jennifer G. Dy
PR
2008
141views more  PR 2008»
13 years 4 months ago
Robust and efficient multiclass SVM models for phrase pattern recognition
Phrase pattern recognition (phrase chunking) refers to automatic approaches for identifying predefined phrase structures in a stream of text. Support vector machines (SVMs)-based ...
Yu-Chieh Wu, Yue-Shi Lee, Jie-Chi Yang