192 search results - page 5 / 39 » A Note on the Decomposition Methods for Support Vector Regre... |
AUSDM
2006
Springer
14 years 9 days ago
2006
Springer
The support vector machine (SVM) is a wellestablished and accurate supervised learning method for the classification of data in various application fields. The statistical learnin...
SYNASC
2006
IEEE
14 years 2 months ago
2006
IEEE
Evolutionary support vector machines (ESVMs) are a novel technique that assimilates the learning engine of the state-of-the-art support vector machines (SVMs) but evolves the coef...
ISCI
2008
13 years 8 months ago
2008
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
Recently, a very appealing approach was proposed to compute the entire solution path for support vector classification (SVC) with very low extra computational cost. This approach ...
PVM
2005
Springer
14 years 2 months ago
2005
Springer
We consider a parallel decomposition technique for solving the large quadratic programs arising in training the learning methodology Support Vector Machine. At each iteration of th...