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Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.12.129
Abstract: Abstract Sparse additive models have shown promising performance for classification and variable selection in high-dimensional data analysis. However, existing methods are limited to the error metric associated with hinge loss, which are sensitive to noise…
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Keywords:
additive machine;
pinball loss;
sparse additive;
machine pinball ... See more keywords
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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 "Analysis and Applications"
DOI: 10.1142/s0219530520400011
Abstract: Sparse additive machines (SAMs) have attracted increasing attention in high dimensional classification due to their representation flexibility and interpretability. However, most of existing method...
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Keywords:
additive machine;
machine ramp;
sparse additive;
ramp loss ... See more keywords