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ICPR
2004
IEEE
14 years 6 months ago
Efficient Model Selection for Kernel Logistic Regression
Kernel logistic regression models, like their linear counterparts, can be trained using the efficient iteratively reweighted least-squares (IRWLS) algorithm. This approach suggest...
Gavin C. Cawley, Nicola L. C. Talbot
PRL
2006
87views more  PRL 2006»
13 years 5 months ago
Supervised feature-based classification of multi-channel SAR images
This paper describes a new method for a feature-based supervised classification of multi-channel SAR data. Classic feature selection and classification methods are inadequate due ...
Dirk Borghys, Yann Yvinec, Christiaan Perneel, Ale...
SCFBM
2008
738views more  SCFBM 2008»
13 years 4 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...
PRL
2011
13 years 11 days ago
A sparse version of the ridge logistic regression for large-scale text categorization
The ridge logistic regression has successfully been used in text categorization problems and it has been shown to reach the same performance as the Support Vector Machine but with...
Sujeevan Aseervatham, Anestis Antoniadis, É...
MM
2009
ACM
233views Multimedia» more  MM 2009»
13 years 10 months ago
Enhancing semantic and geographic annotation of web images via logistic canonical correlation regression
Photo community sites such as Flickr and Picasa Web Album host a massive amount of personal photos with millions of new photos uploaded every month. These photos constitute an ove...
Liangliang Cao, Jie Yu, Jiebo Luo, Thomas S. Huang