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» An Information Criterion for Informative Gene Selection
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NN
2002
Springer
224views Neural Networks» more  NN 2002»
14 years 9 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
66
Voted
PAA
2006
14 years 9 months ago
Classifier-independent feature selection on the basis of divergence criterion
Feature selection aims to choose a feature subset that has the most discriminative information from the original feature set. In practical cases, it is preferable to select a featu...
Naoto Abe, Mineichi Kudo, Jun Toyama, Masaru Shimb...
78
Voted
IADIS
2008
14 years 11 months ago
Mib: Using Mutual Information for Biclustering High Dimensional Data
Most of the biclustering algorithms for gene expression data are based either on the Euclidean distance or correlation coefficient which capture only linear relationships. However...
Neelima Gupta, Seema Aggarwal
BMCBI
2004
87views more  BMCBI 2004»
14 years 9 months ago
Selection of informative clusters from hierarchical cluster tree with gene classes
Background: A common clustering method in the analysis of gene expression data has been hierarchical clustering. Usually the analysis involves selection of clusters by cutting the...
Petri Törönen
BMCBI
2008
160views more  BMCBI 2008»
14 years 9 months ago
Feature selection environment for genomic applications
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....
Fabrício Martins Lopes, David Correa Martin...