1683 search results - page 30 / 337 » Learning with Mixtures of Trees |
COLT
1995
Springer
13 years 11 months ago
1995
Springer
We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
ICRA
1999
IEEE
14 years 4 days ago
1999
IEEE
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
NIPS
2001
13 years 9 months ago
2001
Estimating insurance premia from data is a difficult regression problem for several reasons: the large number of variables, many of which are discrete, and the very peculiar shape...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
How to determine the number of clusters is an intractable problem in clustering analysis. In this paper, we propose a new learning paradigm named Maximum Weighted Likelihood (MwL)...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...