209 search results - page 1 / 42 » Evaluating Feature Selection for SVMs in High Dimensions |
ECML
2006
Springer
13 years 8 months ago
2006
Springer
We perform a systematic evaluation of feature selection (FS) methods for support vector machines (SVMs) using simulated high-dimensional data (up to 5000 dimensions). Several findi...
ICML
2008
IEEE
14 years 5 months ago
2008
IEEE
In this paper we perform an empirical evaluation of supervised learning on highdimensional data. We evaluate performance on three metrics: accuracy, AUC, and squared loss and stud...
BMCBI
2004
13 years 4 months ago
2004
Background: This paper presents the use of Support Vector Machines (SVMs) for prediction and analysis of antisense oligonucleotide (AO) efficacy. The collected database comprises ...
SDM
2009
SIAM
14 years 2 months ago
2009
SIAM
Support Vector Machines (SVMs) are a leading tool in classification and pattern recognition and the kernel function is one of its most important components. This function is used...
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents an approach for a multi-cue based two-dimensional gesture recognition that combines two different forms of cues, namely shape cues and motion cues, in a suppor...