Efficient L1 Regularized Logistic Regression
暂无分享,去创建一个
Honglak Lee | Pieter Abbeel | Andrew Y. Ng | Su-In Lee | A. Ng | P. Abbeel | Honglak Lee | Su-In Lee
[1] 丸山 徹. Convex Analysisの二,三の進展について , 1977 .
[2] P. Green. Iteratively reweighted least squares for maximum likelihood estimation , 1984 .
[3] P. McCullagh,et al. Generalized Linear Models , 1992 .
[4] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[5] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[6] M. R. Osborne,et al. On the LASSO and its Dual , 2000 .
[7] Eric R. Ziegel,et al. Generalized Linear Models , 2002, Technometrics.
[8] James Theiler,et al. Online Feature Selection using Grafting , 2003, ICML.
[9] R. Tibshirani,et al. Least angle regression , 2004, math/0406456.
[10] Joshua Goodman,et al. Exponential Priors for Maximum Entropy Models , 2004, NAACL.
[11] Volker Roth,et al. The generalized LASSO , 2004, IEEE Transactions on Neural Networks.
[12] T. Minka. A comparison of numerical optimizers for logistic regression , 2004 .
[13] A. Ng. Feature selection, L1 vs. L2 regularization, and rotational invariance , 2004, Twenty-first international conference on Machine learning - ICML '04.
[14] Stephen P. Boyd,et al. Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.