PUlasso: High-Dimensional Variable Selection With Presence-Only Data

In various real-world problems, we are presented with classification problems with positive and unlabeled data, referred to as presence-only responses. In this article we study variable selection in the context of presence only responses where the number of features or covariates p is large. The com...

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Vydáno v:	Journal of the American Statistical Association Ročník 115; číslo 529; s. 334 - 347
Hlavní autoři:	Song, Hyebin, Raskutti, Garvesh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Taylor & Francis 02.01.2020 Taylor & Francis Ltd
Témata:	Algorithms Biochemistry Classification Computer simulation Feature selection Majorization-minimization Minimax technique Minimization Neighborhoods Nonconvexity Optimization PU-learning Regression analysis Regularization Sparsity Statistical methods Statistics World problems Regularization Majorization-minimization Nonconvexity, PU-learning
ISSN:	0162-1459, 1537-274X
On-line přístup:	Získat plný text
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