1157 search results - page 39 / 232 » A kernel path algorithm for support vector machines |
ECAI
2004
Springer
14 years 2 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
ESANN
2000
13 years 10 months ago
2000
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
ICPR
2006
IEEE
14 years 2 months ago
2006
IEEE
In this study, we propose an improved semi-supervised support vector machine (SVM) based translation algorithm for brain-computer interface (BCI) systems, aiming at reducing the t...
TNN
2008
13 years 8 months ago
2008
Hard-margin support vector machines (HM-SVMs) suffer from getting overfitting in the presence of noise. Soft-margin SVMs deal with this problem by introducing a regularization term...
ESWA
2007
13 years 8 months ago
2007
Two parameters, C and r, must be carefully predetermined in establishing an efficient support vector machine (SVM) model. Therefore, the purpose of this study is to develop a gene...