3467 search results - page 54 / 694 » Streamwise Feature Selection |
ISBRA
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
94
Voted
ICMCS
2006
IEEE
15 years 6 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
118
Voted
ICTAI
1993
IEEE
15 years 4 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
100
Voted
ESANN
2007
15 years 2 months ago
2007
A new efficient unsupervised feature selection method is proposed to handle transactional data. The proposed feature selection method introduces a new Data Distribution Factor (DDF...
96
Voted
ACIVS
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...