3507 search results - page 100 / 702 » Feature selection toolbox |
138
click to vote
BMCBI
2004
15 years 3 months ago
2004
Background: Clustering is one of the most commonly used methods for discovering hidden structure in microarray gene expression data. Most current methods for clustering samples ar...
132
click to vote
ICIP
2009
IEEE
15 years 26 days ago
2009
IEEE
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
148
click to vote
ENC
2004
IEEE
15 years 6 months ago
2004
IEEE
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
121
click to vote
IEAAIE
2003
Springer
15 years 8 months ago
2003
Springer
The attribute selection techniques for supervised learning, used in the preprocessing phase to emphasize the most relevant attributes, allow making models of classification simple...
137
click to vote
ICML
2004
IEEE
15 years 8 months ago
2004
IEEE
LASSO (Least Absolute Shrinkage and Selection Operator) is a useful tool to achieve the shrinkage and variable selection simultaneously. Since LASSO uses the L1 penalty, the optim...