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NN
2008
Springer
143views Neural Networks» more  NN 2008»
14 years 11 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
WABI
2010
Springer
170views Bioinformatics» more  WABI 2010»
14 years 9 months ago
Haplotypes versus Genotypes on Pedigrees
Abstract. Genome sequencing will soon produce haplotype data for individuals. For pedigrees of related individuals, sequencing appears to be an attractive alternative to genotyping...
Bonnie Kirkpatrick
HEURISTICS
2008
120views more  HEURISTICS 2008»
14 years 11 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
BMCBI
2007
237views more  BMCBI 2007»
14 years 11 months ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
APBC
2004
132views Bioinformatics» more  APBC 2004»
15 years 13 days ago
A Novel Feature Selection Method to Improve Classification of Gene Expression Data
This paper introduces a novel method for minimum number of gene (feature) selection for a classification problem based on gene expression data with an objective function to maximi...
Liang Goh, Qun Song, Nikola K. Kasabov