686 search results - page 9 / 138 » Minimax Probability Machine |
112
Voted
COLT
2005
Springer
15 years 6 months ago
2005
Springer
Abstract. We derive upper and lower bounds for some statistical estimation problems. The upper bounds are established for the Gibbs algorithm. The lower bounds, applicable for all ...
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Traditional binary hypothesis testing relies on the precise knowledge of the probability density of an observed random vector conditioned on each hypothesis. However, for many app...
109
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
100
Voted
NIPS
2001
15 years 2 months ago
2001
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
110
Voted
TIT
1998
15 years 9 days ago
1998
—Probability models are estimated by use of penalized log-likelihood criteria related to AIC and MDL. The accuracies of the density estimators are shown to be related to the trad...