A-SFS: Semi-supervised feature selection based on multi-task self-supervision

Feature selection is an important process in machine learning. It builds an interpretable and robust model by selecting the features that contribute the most to the prediction target. However, most mature feature selection algorithms, including supervised and semi-supervised, fail to fully exploit t...

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Vydané v:	Knowledge-based systems Ročník 252; s. 109449
Hlavní autori:	Qiu, Zhifeng, Zeng, Wanxin, Liao, Dahua, Gui, Ning
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 27.09.2022
Predmet:	Attention mechanism Autoencoder Feature selection Self-supervised Attention mechanism Self-supervised Feature selection Autoencoder
ISSN:	0950-7051, 1872-7409
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