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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Veröffentlicht in:	International journal of approximate reasoning Jg. 145; S. 1 - 17
Hauptverfasser:	Rastogi (nee Khemchandani), Reshma, Jain, Sambhav
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2022
Schlagworte:	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
Online-Zugang:	Volltext
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