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Published in 2018 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-016-0595-y
Abstract: Traditional feature selection methods assume that the entire input feature set is available from the beginning. However, streaming features (SF) is an integral part of many real-world applications. In this scenario, the number of training…
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Keywords:
sfs;
feature selection;
feature;
streamwise feature ... See more keywords