Extensions to Online Feature Selection Using Bagging and Boosting
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DOI: 10.1109/tnnls.2017.2746107
Abstract: Feature subset selection can be used to sieve through large volumes of data and discover the most informative subset of variables for a particular learning problem. Yet, due to memory and other resource constraints (e.g.,… read more here.
Keywords: feature selection; feature; online feature; selection ... See more keywords