775 search results - page 65 / 155 » Memetic Algorithms for Feature Selection on Microarray Data |
ICPR
2010
IEEE
14 years 21 days 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...
BMCBI
2010
13 years 7 months ago
2010
Background: Feature selection is an important pre-processing task in the analysis of complex data. Selecting an appropriate subset of features can improve classification or cluste...
GECCO
2007
Springer
14 years 1 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...
ACG
2009
Springer
14 years 2 months ago
2009
Springer
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
ESANN
2004
13 years 9 months ago
2004
Input feature ranking and selection represent a necessary preprocessing stage in classification, especially when one is required to manage large quantities of data. We introduce a ...