SMLR (pronounced "smaller") is a software package for sparse classification. SMLR learns a true multiclass classifier from training data and can be used either to evaluate the generalization performance of the learned classifier (through test data or cross-validation) or to apply the learned classifier to unlabeled data.
Contact: Alex Hartemink, amink@cs.duke.edu