LAUSR

Approximate Sparse Multinomial Logistic Regression for Classification

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0 Published in 2020 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"

DOI: 10.1109/tpami.2019.2904062

Abstract: We propose a new learning rule for sparse multinomial logistic regression (SMLR). The new rule is the generalization of the one proposed in the pioneering work by Krishnapuram et al. In our proposed method, the… read more here.

Keywords: logistic regression; approximate sparse; multinomial logistic; classification ... See more keywords