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» Extreme logistic regression
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SCFBM
2008
738views more  SCFBM 2008»
15 years 3 months ago
Purposeful selection of variables in logistic regression
The main problem in any model-building situation is to choose from a large set of covariates those that should be included in the "best" model. A decision to keep a vari...
Zoran Bursac, C. Heath Gauss, David Keith Williams...
139
Voted
BMCBI
2008
127views more  BMCBI 2008»
15 years 3 months ago
Gene and pathway identification with Lp penalized Bayesian logistic regression
Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
ICML
2004
IEEE
16 years 4 months ago
Surrogate maximization/minimization algorithms for AdaBoost and the logistic regression model
Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. There are...
Zhihua Zhang, James T. Kwok, Dit-Yan Yeung
88
Voted
ICML
2005
IEEE
16 years 4 months ago
Logistic regression with an auxiliary data source
Xuejun Liao, Ya Xue, Lawrence Carin
88
Voted
KDD
2008
ACM
111views Data Mining» more  KDD 2008»
16 years 3 months ago
Fast logistic regression for text categorization with variable-length n-grams
Gökhan H. Bakir, Georgiana Ifrim, Gerhard Wei...