25 search results - page 1 / 5 » Tuning SVM parameters by using a hybrid CLPSO-BFGS algorithm |
IJON
2010
12 years 11 months ago
2010
ESANN
2004
13 years 6 months ago
2004
The problem of model selection for support vector machines (SVMs) is considered. We propose an evolutionary approach to determine multiple SVM hyperparameters: The covariance matr...
CEC
2005
IEEE
13 years 10 months ago
2005
IEEE
Abstract- Choosing the best parameter setting is a wellknown important and challenging task in Evolutionary Algorithms (EAs). As one of the earliest parameter tuning techniques, th...
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...
NIPS
2004
13 years 6 months ago
2004
The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values fo...