209 search results - page 17 / 42 » Evaluating Feature Selection for SVMs in High Dimensions |
CPHYSICS
2007
15 years 12 days ago
2007
Plasma process is a highly selective technique exploiting the individual or mixed function of positive ions, electrons, neutral radicals, and photons produced by low temperature p...
115
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BMCBI
2007
15 years 13 days ago
2007
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
135
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ICDE
2012
IEEE
13 years 2 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
103
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DMIN
2009
14 years 10 months ago
2009
In high dimensional data sets not all dimensions contain an equal amount of information and most of the time global features are more important than local differences. This makes ...
124
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SAC
2006
ACM
15 years 6 months ago
2006
ACM
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...