24 search results - page 2 / 5 » A new genetic algorithm in proteomics: Feature selection for... |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
BMCBI
2008
13 years 4 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Classifier fusion is considered as one of the best strategies for improving performances upon general purpose classification systems. On the other hand, fusion strategy space stro...
CEC
2009
IEEE
13 years 9 months ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
BMCBI
2011
12 years 8 months ago
2011
Background: High-throughput mass spectrometry (MS) proteomics data is increasingly being used to complement traditional structural genome annotation methods. To keep pace with the...