893 search results - page 23 / 179 » Analysis of new variable selection methods for discriminant ... |
SCIA
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. The accuracy of data classification methods depends considerably on the data representation and on the selected features. In this work, the elastic net model selection i...
127
Voted
BMCBI
2007
15 years 13 days ago
2007
Background: Classification studies using gene expression datasets are usually based on small numbers of samples and tens of thousands of genes. The selection of those genes that a...
120
Voted
IJCNLP
2005
Springer
15 years 6 months ago
2005
Springer
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
116
Voted
ICIP
2005
IEEE
16 years 2 months ago
2005
IEEE
We study the use of kernel subspace methods that learn low-dimensional subspace representations for classification tasks. In particular, we propose a new method called kernel weigh...
112
click to vote
SDM
2009
SIAM
15 years 9 months ago
2009
SIAM
This paper demonstrates the applicability of the recently proposed supervised dimension reduction, hierarchical linear discriminant analysis (h-LDA) to a well-known spatial locali...