MLFlexhttp://mloss.orgUpdates and additions to MLFlexenTue, 03 Apr 2012 16:44:43 -0000MLFlex 02-21-2012-00-12<html><p>Motivated by a need to classify high-dimensional, heterogeneous data from the bioinformatics domain, we developed ML-Flex, a machine-learning toolbox that enables users to perform two-class and multi-class classification analyses in a systematic yet flexible manner. ML-Flex was written in Java but is capable of interfacing with third-party packages written in other programming languages. It can handle multiple input-data formats and supports a variety of customizations. MLFlex provides implementations of various validation strategies, which can be executed in parallel across multiple computing cores, processors, and nodes. Additionally, ML-Flex supports aggregating evidence across multiple algorithms and data sets via ensemble learning. (See </p></html>Stephen R. Piccolo, Lewis J. FreyTue, 03 Apr 2012 16:44:43 -0000 computing