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An efficient method for large-scale l1-regularized convex loss minimization
Convex loss logistic regression newsgroups data set
2015/8/10
Convex loss minimization with l1 regularization has been proposed as a promising method for feature selection in classification (e.g., l1-regularized logistic regression) and regression (e.g., l1-regu...
The Weight of Competence under a Realistic Loss Function
Collective decision-making information pooling loss functions
2009/11/20
In many scientific, economic and policy-related problems, pieces of information from different sources have to be aggregated. Typically, the sources are not equally competent. This raises the question...