most citedMassively-Parallel Feature Selection for Big Data

1 citations · 1 across the 1 of their papers we have counts for

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1 paper

cs.LG2017★ 1 cited

Massively-Parallel Feature Selection for Big Data

Ioannis Tsamardinos, Giorgos Borboudakis, Pavlos Katsogridakis +2

We present the Parallel, Forward-Backward with Pruning (PFBP) algorithm for feature selection (FS) in Big Data settings (high dimensionality and/or sample size). To tackle the chal…