120 search results - page 4 / 24 » Controlling overfitting with multi-objective support vector ... |
CDC
2009
IEEE
14 years 10 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
65
Voted
COLT
2003
Springer
15 years 2 months ago
2003
Springer
We examine the so-called rigorous support vector machine (RSVM) approach proposed by Vapnik (1998). The formulation of RSVM is derived by explicitly implementing the structural ris...
ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
The one-class and cost-sensitive support vector machines (SVMs) are state-of-the-art machine learning methods for estimating density level sets and solving weighted classificatio...
MICCAI
2002
Springer
15 years 10 months ago
2002
Springer
After segmenting candidate exudates regions in colour retinal images we present and compare two methods for their classification. The Neural Network based approach performs margina...
ICPR
2006
IEEE
15 years 3 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...