564 search results - page 19 / 113 » Bayesian Parameter Estimation: A Monte Carlo Approach |
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider Bayesian detection/classification of discrete random parameters that are strongly dependent locally due to some deterministic local constraint. Based on the recently ...
ALT
2003
Springer
14 years 4 months ago
2003
Springer
In this paper, we present a kernel trick embedded Gaussian Mixture Model (GMM), called kernel GMM. The basic idea is to embed kernel trick into EM algorithm and deduce a parameter ...
CSDA
2007
13 years 7 months ago
2007
A parametric, continuous-time Markov model for digraph panel data is considered. The parameter is estimated by the method of moments. A convenient method for estimating the varian...
JFR
2008
13 years 7 months ago
2008
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
NECO
2002
13 years 7 months ago
2002
In this work, we discuss practical methods for the assessment, comparison, and selection of complex hierarchical Bayesian models. A natural way to assess the goodness of the model...