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» Optimizing F-Measure with Support Vector Machines
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ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
14 years 2 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
ICMCS
2006
IEEE
151views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Support Vector Machine for Multiple Feature Classifcation
In this paper an effective method of using SVM classifier for multiple feature classification is proposed. Compared with traditional combination methods where all needed base clas...
Bing-Yu Sun, Moon-Chuen Lee
IJCAI
2003
13 years 9 months ago
Multi-prototype Support Vector Machine
We extend multiclass SVM to multiple prototypes per class. For this framework, we give a compact constrained quadratic problem and we suggest an efficient algorithm for its optimi...
Fabio Aiolli, Alessandro Sperduti
SDM
2007
SIAM
81views Data Mining» more  SDM 2007»
13 years 9 months ago
A PAC Bound for Approximate Support Vector Machines
We study a class of algorithms that speed up the training process of support vector machines (SVMs) by returning an approximate SVM. We focus on algorithms that reduce the size of...
Dongwei Cao, Daniel Boley
ICPR
2006
IEEE
14 years 8 months ago
Fast Support Vector Machine Classification using linear SVMs
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...
Karina Zapien Arreola, Janis Fehr, Hans Burkhardt