1347 search results - page 51 / 270 » Feature Selection Algorithms: A Survey and Experimental Eval... |
HIS
2007
13 years 9 months ago
2007
Meta-Learning has been used to relate the performance of algorithms and the features of the problems being tackled. The knowledge in Meta-Learning is acquired from a set of meta-e...
BMCBI
2010
13 years 8 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...
PKDD
2009
Springer
14 years 2 months ago
2009
Springer
Abstract. We present a method for applying machine learning algorithms to the automatic classification of astronomy star surveys using time series of star brightness. Currently su...
CVPR
2010
IEEE
14 years 4 months ago
2010
IEEE
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Constructive Induction is the process of transforming the original representation of hard concepts with complex interaction into a representation that highlights regularities. Mos...