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ICML
2007
IEEE
119
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Machine Learning
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ICML 2007
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Scalable training of L1-regularized log-linear models
15 years 9 days ago
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www.machinelearning.org
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
Galen Andrew, Jianfeng Gao
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