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nu-Anomica (Previously Sparse One Class Support Vector Machines (SOC-SVMs))
A NASA software catalog entry available for reuse or request.
About this technology
Overview
nu-Anomica is an anomaly detector that can run faster than traditional OC-SVMs. The technology can handle large training sets and works with a well-defined target function. The program utilizes the OSU SVMs code (which is a MATLAB version of Lib-SVMs) as the baseline.