3165 search results - page 116 / 633 » Introduction to genetic algorithms |
116
Voted
DATESO
2008
15 years 3 months ago
2008
Matrix factorization or factor analysis is an important task helpful in the analysis of high dimensional real world data. There are several well known methods and algorithms for fa...
131
click to vote
IJON
2006
15 years 1 months ago
2006
In this letter, a two-step learning scheme for the optimal selection of time lags is proposed for a typical temporal blind source separation (TBSS), Temporal Decorrelation source ...
ENGL
2007
15 years 1 months ago
2007
Abstract—This paper presents a systematic approach for the design of temperature controller using genetic algorithms (GAs) for thermal power plant subsystems and investigates the...
114
click to vote
BMCBI
2008
15 years 1 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
153
click to vote
BMCBI
2010
14 years 8 months ago
2010
Background: The development, in the last decade, of stochastic heuristics implemented in robust application softwares has made large phylogeny inference a key step in most compara...