Sparse Maximum Margin Logistic Regression for Credit Scoring
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[1] Yang Jing. L1 Regularization Path Algorithm for Generalized Linear Models , 2008 .
[2] Jae Won Lee,et al. Stepwise feature selection using generalized logistic loss , 2008, Comput. Stat. Data Anal..
[3] Ji Zhu,et al. Boosting as a Regularized Path to a Maximum Margin Classifier , 2004, J. Mach. Learn. Res..
[4] Olvi L. Mangasarian,et al. A class of smoothing functions for nonlinear and mixed complementarity problems , 1996, Comput. Optim. Appl..
[5] S. Wood. Generalized Additive Models: An Introduction with R , 2006 .
[6] Tong Zhang,et al. Text Categorization Based on Regularized Linear Classification Methods , 2001, Information Retrieval.
[7] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[8] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .
[9] Yiming Yang,et al. Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization , 2003, ICML.
[10] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[11] David J. Hand,et al. Statistical Classification Methods in Consumer Credit Scoring: a Review , 1997 .
[12] Simon N. Wood,et al. Generalized Additive Models , 2006, Annual Review of Statistics and Its Application.
[13] Mee Young Park,et al. L 1-regularization path algorithm for generalized linear models , 2006 .