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Convex Bidirectional Large Margin Classifiers

Classification problems are commonly seen in practice. In this paper, we aim to develop classifiers that can enjoy great interpretability as linear classifiers, and at the same time have model flexibility as nonlinear classifiers. We propose convex bidirectional large margin classifiers to fill the...

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Vydáno v:Technometrics
Hlavní autoři: Qi, Zhengling, Liu, Yufeng
Médium: Artigo
Jazyk:Inglês
Vydáno: 2018
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC6726400/
https://ncbi.nlm.nih.gov/pubmed/31485090
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00401706.2018.1497544
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