An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression 论文

2007Journal of Machine Learning Research引用 235

Advanced Multi-Objective Optimization AlgorithmsNumerical methods in inverse problems

Advanced Multi-Objective Optimization Algorithms Numerical methods in inverse problems

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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...

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An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression 论文

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