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.
|Author||Mansour T.A. Sharabiani, Alireza S. Mahani|
|Date of publication||2015-03-27 07:15:54|
|Maintainer||Alireza S. Mahani <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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