166 search results - page 3 / 34 » Efficient Model Selection for Kernel Logistic Regression |
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Naive Bayes and logistic regression perform well in different regimes. While the former is a very simple generative model which is efficient to train and performs well empirically...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The scores returned by support vector machines are often used as a confidence measures in the classification of new examples. However, there is no theoretical argument sustaining ...
ESSLLI
2009
Springer
13 years 2 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...
CSDA
2006
13 years 5 months ago
2006
The logistic regression model is used to predict a binary response variable in terms of a set of explicative ones. The estimation of the model parameters is not too accurate and t...
IJCNN
2007
IEEE
13 years 11 months ago
2007
IEEE
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...