Large-scale sparse logistic regression

@inproceedings{Liu2009LargescaleSL,
  title={Large-scale sparse logistic regression},
  author={Jun Liu and Jianhui Chen and Jieping Ye},
  booktitle={KDD},
  year={2009}
}
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Sparse logistic regression embeds feature selection in the classification framework using the l1-norm regularization, and is attractive in many applications involving high-dimensional data. In this paper, we propose Lassplore for solving large-scale sparse logistic regression. Specifically, we formulate the problem as the… CONTINUE READING
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Introductory Lectures on Convex Optimization: A Basic Course

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  • Kluwer Academic Publishers,
  • 2003
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