Ontology highlight
ABSTRACT:
SUBMITTER: Conroy B
PROVIDER: S-EPMC3875235 | biostudies-literature | 2012
REPOSITORIES: biostudies-literature
JMLR workshop and conference proceedings 20120101
Regularized logistic regression is a standard classification method used in statistics and machine learning. Unlike regularized least squares problems such as ridge regression, the parameter estimates cannot be computed in closed-form and instead must be estimated using an iterative technique. This paper addresses the computational problem of regularized logistic regression that is commonly encountered in model selection and classifier statistical significance testing, in which a large number of ...[more]