Probing for sparse and fast variable selection with model-based boosting

15 Feb 2017Janek ThomasTobias HeppAndreas MayrBernd Bischl

We present a new variable selection method based on model-based gradient boosting and randomly permuted variables. Model-based boosting is a tool to fit a statistical model while performing variable selection at the same time... (read more)

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