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» Experimental Comparison of Feature Subset Selection Methods
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ICDM
2009
IEEE
149views Data Mining» more  ICDM 2009»
16 years 24 days ago
Accelerated Gradient Method for Multi-task Sparse Learning Problem
—Many real world learning problems can be recast as multi-task learning problems which utilize correlations among different tasks to obtain better generalization performance than...
Xi Chen, Weike Pan, James T. Kwok, Jaime G. Carbon...
BMCBI
2004
144views more  BMCBI 2004»
15 years 6 months ago
GOtcha: a new method for prediction of protein function assessed by the annotation of seven genomes
Background: The function of a novel gene product is typically predicted by transitive assignment of annotation from similar sequences. We describe a novel method, GOtcha, for pred...
David M. A. Martin, Matthew Berriman, Geoffrey J. ...
EOR
2007
165views more  EOR 2007»
15 years 6 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
BMCBI
2007
128views more  BMCBI 2007»
15 years 6 months ago
A Bayesian nonparametric method for prediction in EST analysis
Background: Expressed sequence tags (ESTs) analyses are a fundamental tool for gene identification in organisms. Given a preliminary EST sample from a certain library, several sta...
Antonio Lijoi, Ramsés H. Mena, Igor Prü...
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 11 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba