5802 search results - page 157 / 1161 » Parallelizing Feature Selection |
97
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
We propose Genetic Algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use...
128
Voted
IDEAL
2005
Springer
15 years 8 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...
172
Voted
AUSAI
2007
Springer
15 years 6 months ago
2007
Springer
Building classification models plays an important role in DNA mircroarray data analyses. An essential feature of DNA microarray data sets is that the number of input variables (gen...
116
Voted
PDCAT
2009
Springer
15 years 9 months ago
2009
Springer
With the advent of multi-core processors, desktop application developers must finally face parallel computing and its challenges. A large portion of the computational load in a p...
149
Voted
AFP
2008
Springer
15 years 9 months ago
2008
Springer
This practical tutorial introduces the features available in Haskell for writing parallel and concurrent programs. We first describe how to write semi-explicit parallel programs b...