Grafted and vanishing random subspaces
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DOI: 10.1007/s10044-021-01029-0
Abstract: The random subspace method (RSM) is an ensemble procedure in which each constituent learner is constructed using a randomly chosen subset of the data features. Regression trees are ideal candidate learners in RSM ensembles. By… read more here.
Keywords: vanishing random; feature; random subspace; feature subsets ... See more keywords