Scalable Training of L1-regularized Log-linear Models
Published on Jun 23, 20077664 Views
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 used for an L1-regulari