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In this paper we analyze the prediction problem and focus on building a multinomial logit model (MNL) to predict accurately, the market shares of new cars in the Swedish car fleet in the short-term future. Also, we investigate whether or not different prediction questions lead to different...
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embedded feature selection framework that integrates sparse optimization for regularization (or sparse regularization) and … sparse regularization is key to achieving scientifically-relevant generalizability and functional localization of classifier …
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