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  • Title: Intelligible machine learning with malibu.
    Author: Langlois RE, Lu H.
    Journal: Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():3795-8. PubMed ID: 19163538.
    Abstract:
    malibu is an open-source machine learning work-bench developed in C/C++ for high-performance real-world applications, namely bioinformatics and medical informatics. It leverages third-party machine learning implementations for more robust bug-free software. This workbench handles several well-studied supervised machine learning problems including classification, regression, importance-weighted classification and multiple-instance learning. The malibu interface was designed to create reproducible experiments ideally run in a remote and/or command line environment. The software can be found at: http://proteomics.bioengr. uic.edu/malibu/index.html.
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