Welfare analysis of the ecological impacts of electricity production in Chile using the sparse multinomial logit model
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Economics"
DOI: 10.1016/j.ecolecon.2021.107010
Abstract: Abstract Chile has substantially expanded its renewable energy supply over the last 10 years. During this transition, Chileans faced a difficult decision about how to produce electricity, and where production should take place. Such decisions can… read more here.
Keywords: electricity production; production; logit model; sparse multinomial ... See more keywords
Distributed Parallel Sparse Multinomial Logistic Regression
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DOI: 10.1109/access.2019.2913280
Abstract: Sparse Multinomial Logistic Regression (SMLR) is widely used in the field of image classification, multi-class object recognition, and so on, because it has the function of embedding feature selection during classification. However, it cannot meet… read more here.
Keywords: logistic regression; smlr; problem; multinomial logistic ... See more keywords
Approximate Sparse Multinomial Logistic Regression for Classification
Sign Up to like & getrecommendations! 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