336 search results - page 4 / 68 » Extreme logistic regression |
AAAI
2006
13 years 7 months ago
2006
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...
ECRIME
2007
13 years 9 months ago
2007
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
CSDA
2007
13 years 5 months ago
2007
R package flexmix provides flexible modelling of finite mixtures of regression models using the EM algorithm. Several new features of the software such as fixed and nested var...
JMLR
2011
13 years 21 days ago
2011
A logistic stick-breaking process (LSBP) is proposed for non-parametric clustering of general spatially- or temporally-dependent data, imposing the belief that proximate data are ...
ESSLLI
2009
Springer
13 years 3 months ago
2009
Springer
This paper addresses the problem of selecting the `optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we take the British En...