191 search results - page 2 / 39 » Data Condensation in Large Databases by Incremental Learning... |
NIPS
2000
13 years 6 months ago
2000
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
ICANN
2001
Springer
13 years 10 months ago
2001
Springer
Abstract. In this paper, we propose and study a new on-line algorithm for learning a SVM based on Radial Basis Function Kernel: Local Incremental Learning of SVM or LISVM. Our meth...
ASC
2008
13 years 5 months ago
2008
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
ICDM
2009
IEEE
14 years 3 days ago
2009
IEEE
—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...
GECCO
2008
Springer
13 years 6 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...