Dual coordinate descent methods for logistic regression and maximum entropy models

Most optimization methods for logistic regression or maximum entropy solve the primal problem. They range from iterative scaling, coordinate descent, quasi-Newton, and truncated Newton. Less efforts have been made to solve the dual problem. In contrast, for linear support vector machines (SVM), methods have been shown to be very effective for solving the… (More)

6 Figures & Tables



Citations per Year

264 Citations

Semantic Scholar estimates that this publication has 264 citations based on the available data.

See our FAQ for additional information.