Browsing by Author "Prat Masramon, Gabriel"
Now showing items 1-5 of 5
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Exploiting the accumulated evidence for gene selection in microarray gene expression data
(IOS Press, 2010)
Conference report
Open AccessFeature subset selection (FSS) methods play an important role for cancer classification using microarray gene expression data. In this scenario, it is extremely important to select genes by taking into account the possible ... -
Exploiting the accumulated evidence for gene selection in microarray gene expression data
(2013)
Research report
Open AccessMachine Learning methods have of late made signicant efforts to solving multidisciplinary problems in the field of cancer classification using microarray gene expression data. Feature subset selection methods can play an ... -
Remainder subset awareness for feature subset selection
(Thomson Editores Spain, 2007)
Conference report
Open AccessFeature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. The family of algorithms known as plus-l-minus-r ... -
Remainder subset awareness for feature subset selection
(Springer-Verlag, 2009)
Conference report
Open AccessFeature subset selection has become more and more a common topic of research. This popularity is partly due to the growth in the number of features and application domains. It is of the greatest importance to take themost ... -
Towards more reliable feature evaluations for classification
(Universitat Politècnica de Catalunya, 2016-02-01)
Doctoral thesis
Open AccessIn this thesis we study feature subset selection and feature weighting algorithms. Our aim is to make their output more stable and more useful when used to train a classifier. We begin by defining the concept of stability ...
