SAMUR: Stochastic Augmentation of Matched Data Using Restriction Methods

Augmenting a matched data set by generating multiple stochastic, matched samples from the data using a multi-dimensional histogram constructed from dropping the input matched data into a multi-dimensional grid built on the full data set. The resulting stochastic, matched sets will likely provide a collectively higher coverage of the full data set compared to the single matched set. Each stochastic match is without duplication, thus allowing downstream validation techniques such as cross-validation to be applied to each set without concern for overfitting.

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AuthorMansour T.A. Sharabiani, Alireza S. Mahani
Date of publication2015-03-27 07:15:54
MaintainerAlireza S. Mahani <>
LicenseGPL (>= 2)

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