564 search results - page 46 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
UAI
2004
13 years 8 months ago
2004
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
DAC
2007
ACM
14 years 8 months ago
2007
ACM
Abstract-- The PPV is a robust phase domain macromodel for oscillators. It has been proven to predict oscillators' responses correctly under small signal perturbations, and ca...
ACCV
2006
Springer
13 years 11 months ago
2006
Springer
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
TSP
2010
13 years 2 months ago
2010
The adaptive estimation of a time-varying parameter vector in a linear Gaussian model is considered where we a priori know that the parameter vector belongs to a known arbitrary s...
AAAI
2012
11 years 9 months ago
2012
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...