Revisit of Logistic Regression

Volume: 4, Issue: 5
Published: Jan 1, 2013
Abstract
Logistic regression (LR) is widely applied as a powerful classification method in various fields, and a variety of optimization methods have been developed. To cope with large-scale problems, an efficient optimization method for LR is required in terms of computational cost and memory usage. In this paper, we propose an efficient optimization method using non-linear conjugate gradient (CG) descent. In each CG iteration, the proposed method...
Paper Details
Title
Revisit of Logistic Regression
Published Date
Jan 1, 2013
Volume
4
Issue
5
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