502 search results - page 11 / 101 » On the Consistency of Bayesian Function Approximation Using ... |
ECSQARU
2005
Springer
14 years 1 months ago
2005
Springer
In a Bayesian network with continuous variables containing a variable(s) that is a conditionally deterministic function of its continuous parents, the joint density function for t...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Abstract--In this paper, Bayesian hypothesis testing is investigated when the prior probabilities of the hypotheses, taken as a random vector, are quantized. Nearest neighbor and c...
WSC
2008
13 years 10 months ago
2008
Reinforcement Learning (RL) is a simulation-based technique useful in solving Markov decision processes if their transition probabilities are not easily obtainable or if the probl...
SSIAI
2000
IEEE
14 years 3 days ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
BMCBI
2007
13 years 7 months ago
2007
Background: Identity by descent (IBD) matrix estimation is a central component in mapping of Quantitative Trait Loci (QTL) using variance component models. A large number of algor...