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TCBB
2010
14 years 8 months ago
2010
—Gene expression data usually contain a large number of genes, but a small number of samples. Feature selection for gene expression data aims at finding a set of genes that best...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We address feature selection problems for classification of small samples and high dimensionality. A practical example is microarray-based cancer classification problems, where sa...
EACL
2009
ACL Anthology
15 years 10 months ago
2009
ACL Anthology
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
ICIP
2005
IEEE
15 years 11 months ago
2005
IEEE
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
EMO
2009
Springer
15 years 4 months ago
2009
Springer
When training Support Vector Machine (SVM), selection of a training data set becomes an important issue, since the problem of overfitting exists with a large number of training da...