1463 search results - page 108 / 293 » Feature selection based on the training set manipulation |
140
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BMCBI
2006
15 years 4 months ago
2006
Background: Gene selection is an important step when building predictors of disease state based on gene expression data. Gene selection generally improves performance and identifi...
128
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IEEEINTERACT
2002
IEEE
15 years 9 months ago
2002
IEEE
Smaller input data sets such as the test and the train input sets are commonly used in simulation to estimate the impact of architecture/micro-architecture features on the perform...
167
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SAC
2006
ACM
15 years 10 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...
150
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CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In building a face recognition system for real-life scenarios, one usually faces the problem that is the selection of a feature-space and preprocessing methods such as alignment u...
154
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PRL
2008
15 years 4 months ago
2008
Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...