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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...
An interior-point method for large-scale l1-regularized logistic regression
logistic regression feature selection `1 regularization regularization path interiorpoint methods.
2015/8/10
Logistic regression with l1 regularization has been proposed as a promising method for feature selection in classification problems. In this paper we describe an efficient interior-point method for so...
Public appraisal of government efforts and participation intent in medico-ethical policymaking in Japan: a large scale national survey concerning brain death and organ transplant
organ transplant participation intent
2008/11/11
Background
Public satisfaction with policy process influences the legitimacy and acceptance of policies, and conditions the future political process, especially when contending ethical value judgment...