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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3007834
Abstract: In recent years, sparse additive machines have attracted increasing attention in high dimensional classification due to their flexibility and representation interpretability. However, most of the existing methods are formulated under Tikhonov regularization schemes associated with…
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Keywords:
distribution additive;
optimal margin;
margin distribution;
additive machine ... See more keywords
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Published in 2020 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2019.2897662
Abstract: Support Vector Machine (SVM) has always been one of the most successful learning algorithms, with the central idea of maximizing the minimum margin, i.e., the smallest distance from the instances to the classification boundary. However,…
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Keywords:
margin;
margin distribution;
distribution machine;
optimal margin ... See more keywords