105 search results - page 2 / 21 » Learning with Tree-Averaged Densities and Distributions |
KDD
2004
ACM
14 years 11 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
ICML
2007
IEEE
14 years 12 months ago
2007
IEEE
We study the problem of simultaneously estimating several densities where the datasets are organized into overlapping groups, such as a hierarchy. For this problem, we propose a m...
COLT
2004
Springer
14 years 4 months ago
2004
Springer
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
ICML
2008
IEEE
14 years 12 months ago
2008
IEEE
Moment matching is a popular means of parametric density estimation. We extend this technique to nonparametric estimation of mixture models. Our approach works by embedding distri...
CVPR
2011
IEEE
13 years 7 months ago
2011
IEEE
We describe a generative model of the relationship between two images. The model is defined as a factored threeway Boltzmann machine, in which hidden variables collaborate to de...