Ontology highlight
ABSTRACT:
SUBMITTER: Xu C
PROVIDER: S-EPMC4219371 | biostudies-literature | 2014
REPOSITORIES: biostudies-literature
Journal of the American Statistical Association 20140101 507
Feature selection is fundamental for modeling the high dimensional data, where the number of features can be huge and much larger than the sample size. Since the feature space is so large, many traditional procedures become numerically infeasible. It is hence essential to first remove most apparently non-influential features before any elaborative analysis. Recently, several procedures have been developed for this purpose, which include the sure-independent-screening (SIS) as a widely-used techn ...[more]