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SDM
2009
SIAM
179views Data Mining» more  SDM 2009»
14 years 1 months ago
Parallel Large Scale Feature Selection for Logistic Regression.
Daria Sorokina, Jeremy Kubica, Sameer Singh, Scott...
PRL
2011
12 years 11 months 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...
AAAI
2006
13 years 6 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
SIGIR
2008
ACM
13 years 4 months ago
A bayesian logistic regression model for active relevance feedback
Relevance feedback, which traditionally uses the terms in the relevant documents to enrich the user's initial query, is an effective method for improving retrieval performanc...
Zuobing Xu, Ram Akella
SIGSOFT
2004
ACM
14 years 5 months ago
Scaling regression testing to large software systems
When software is modified, during development and maintenance, it is regression tested to provide confidence that the changes did not introduce unexpected errors and that new feat...
Alessandro Orso, Nanjuan Shi, Mary Jean Harrold