IBM Parallel Machine Learning Toolbox

[07/03/09]
"An introduction to the IBM Parallel Machine Learning Toolbox
　Machine-learning algorithms on parallel computing platforms", 06 Mar 2007
　developerWorks > Grid computing >
　http://www.ibm.com/developerworks/library/gr-ipmlt/?ca=dnw-810
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Update: February 9, 2007
"New version includes Blue Gene release of code, enables running of data conversion under MPI, and
corrects a bug in conversion of categorical values in ARFF files."
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[06/12/05]
IBM Parallel Machine Learning Toolbox, November 21, 2006
　A toolbox for running machine learning algorithms on parallel computing platforms.
　alphaWorks > Data management >
　http://www.alphaworks.ibm.com/tech/pml

　"Large data sets are common in Web applications, bioinformatics, and speech and image processing.
　 Many sophisticated machine learning algorithms cannot process such large amounts of data on a single node.
　 IBM Parallel Machine Learning Toolbox (PML) can do so by distributing the computations. This distribution
　 speeds up computations and expedites training by several orders of magnitude: for example, from several weeks
　 on a single node to days or even hours running on multiple nodes."

　"PML contains many commonly-used machine learning algorithms and includes an API for incorporating
　 additional algorithms. Standard supported algorithms include the following:
　　　* Classification: Support-vector machine (SVM), linear least squares, and transform regression
　　　* Clustering: k-means and fuzzy k-means
　　　* Feature reduction: Principal Component Analysis (PCA) and kernel PCA.
　 The toolbox runs on Windows®, Linux®, and UNIX®."