209 search results - page 1 / 42 » Evaluating Feature Selection for SVMs in High Dimensions |
111
Voted
ECML
2006
Springer
15 years 7 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...
117
Voted
ICML
2008
IEEE
16 years 4 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...
132
Voted
BMCBI
2004
15 years 3 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 ...
129
Voted
SDM
2009
SIAM
16 years 20 days 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...
135
Voted
ICASSP
2008
IEEE
15 years 10 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...