A subregion division based multi-objective evolutionary algorithm for SVM training set selection
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.028
Abstract: Abstract Support vector machine (SVM) is a popular machine learning method with a solid theoretical foundation, and has shown promising performance on different classification problems. However, it suffers from an expensive training cost, which makes… read more here.
Keywords: set selection; training set; subregion; training ... See more keywords
Practical selection of representative sets of RNA-seq samples using a hierarchical approach
Sign Up to like & getrecommendations! Published in 2021 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btab315
Abstract: Abstract Motivation Despite numerous RNA-seq samples available at large databases, most RNA-seq analysis tools are evaluated on a limited number of RNA-seq samples. This drives a need for methods to select a representative subset from… read more here.
Keywords: set selection; seq samples; selection; representative set ... See more keywords