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Intelligible machine learning with malibu

9 citations0/0 files storedAnnual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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Scientific Computing and Data Management Machine Learning and Data Classification Machine Learning in Bioinformatics

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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