SIGMA: Large-Scale and Parallel Machine-Learning Tool Kit

The goal of SIGMA is to provide a group of parallel machine-learning algorithms that can meet the requirements of research work and applications typically with large-scale data or features. The tool kit includes more than 10 algorithms and it makes them run on single multicore machine or on a HPC cluster with hundreds of machines and thousands of CPU cores running. Release history: version 1.0: 2009/Oct/12: a basic version with algorithms. version 1.1: 2010/Feb/01: add up to ten algorithms and pass our internal testing. Contactor: Weizhu Chen (http://research.microsoft.com/en-us/people/wzchen/ )