91 search results - page 2 / 19 » Bayesian learning of joint distributions of objects |
155
click to vote
NIPS
2003
15 years 5 months ago
2003
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
143
click to vote
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
Naive Bayes models have been widely used for clustering and classification. However, they are seldom used for general probabilistic learning and inference (i.e., for estimating an...
124
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
124
click to vote
CIRA
2007
IEEE
15 years 10 months ago
2007
IEEE
— Learning motion models of a moving object is a challenge for autonomous robots. We address the particular instance of parameter learning when tracking object motions in a switc...
145
click to vote
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
We address the problem of Bayesian estimation where the statistical relation between the signal and measurements is only partially known. We propose modeling partial Baysian knowl...