A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression.pdf	2.71MB

Type: Paper
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Journal: Journal of Machine Learning Research, Volume: 11

URL: http://www.jmlr.org/papers/volume11/shi10a/shi10a.pdf
License: No license specified, the work may be protected by copyright.

Bibtex:

@article{11:23,author={Jianing Shi and Wotao Yin and Stanley Osher and Paul Sajda}, Title={A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression},journal={Journal of Machine Learning Research},volume={11}, url={http://www.jmlr.org/papers/volume11/shi10a/shi10a.pdf}}

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression Jianing Shi and Wotao Yin and Stanley Osher and Paul Sajda

A Fast Hybrid Algorithm for Large-Scale l1-Regularized Logistic Regression
Jianing Shi and Wotao Yin and Stanley Osher and Paul Sajda