Multi-label learning via minimax probability machine

In this paper, we propose Minimax Probability Machine for Multi-label data classification and is termed as Multi-Label Minimax Probability Machine (MLMPM). Based on data mean and covariance information, MLMPM builds a classifier that minimizes an upper bound on the mis-classification probability of...

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Vydané v:	International journal of approximate reasoning Ročník 145; s. 1 - 17
Hlavní autori:	Rastogi (nee Khemchandani), Reshma, Jain, Sambhav
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.06.2022
Predmet:	Label correlation Minimax probability machine Multi-label classification Second order cone programming problem Weighted least squares Label correlation Weighted least squares Multi-label classification Minimax probability machine Second order cone programming problem
ISSN:	0888-613X, 1873-4731
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