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BMCBI
2005
190views more  BMCBI 2005»
13 years 8 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
IDA
2002
Springer
13 years 8 months ago
Evolutionary model selection in unsupervised learning
Feature subset selection is important not only for the insight gained from determining relevant modeling variables but also for the improved understandability, scalability, and pos...
YongSeog Kim, W. Nick Street, Filippo Menczer
ESSLLI
2009
Springer
13 years 6 months ago
Variable Selection in Logistic Regression: The British English Dative Alternation
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...
Daphne Theijssen
CVPR
2009
IEEE
15 years 4 months ago
Optimization of Landmark Selection for Cortical Surface Registration
Manually labeled landmark sets are often required as in- puts for landmark-based image registration. Identifying an optimal subset of landmarks from a training dataset may be us...
Anand A. Joshi, David W. Shattuck, Dimitrios Panta...
ICPR
2006
IEEE
14 years 10 months ago
Clustering-based multispectral band selection using mutual information
This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct ...
Adolfo Martínez Usó, Filiberto Pla, ...