220 search results - page 29 / 44 » Genetic algorithms in classifier fusion |
CSB
2005
IEEE
14 years 1 months ago
2005
IEEE
Cutting-edge biological and bioinformatics research seeks a systems perspective through the analysis of multiple types of high-throughput and other experimental data for the same ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
HIS
2004
13 years 9 months ago
2004
Microarray data often contains multiple missing genetic expression values that degrade the performance of statistical and machine learning algorithms. This paper presents a K rank...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
The accurate quantification of proteins is important in several areas of cell biology, biotechnology and medicine. Both relative and absolute quantification of proteins is often d...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature selection techniques are critical to the analysis of high dimensional datasets. This is especially true in gene selection from microarray data which are common...