564 search results - page 41 / 113 » Approximation algorithms for restricted Bayesian network str... |
106
click to vote
ECCV
2002
Springer
16 years 2 months ago
2002
Springer
In this paper, a Bayesian self-calibration approach using sequential importance sampling (SIS) is proposed. Given a set of feature correspondences tracked through an image sequenc...
128
Voted
UAI
2000
15 years 1 months ago
2000
Algorithms for learning the conditional probabilities of Bayesian networks with hidden variables typically operate within a high-dimensional search space and yield only locally op...
73
Voted
ICML
2002
IEEE
16 years 1 months ago
2002
IEEE
We apply the Message from Monte Carlo (MMC) algorithm to inference of univariate polynomials. MMC is an algorithm for point estimation from a Bayesian posterior sample. It partiti...
118
click to vote
AAAI
2008
15 years 2 months ago
2008
Based on Information Theory, optimal feature selection should be carried out by searching Markov blankets. In this paper, we formally analyze the current Markov blanket discovery ...
109
click to vote
KES
2007
Springer
15 years 6 months ago
2007
Springer
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...