83 search results - page 5 / 17 » Walk-Sums and Belief Propagation in Gaussian Graphical Model... |
UAI
2001
14 years 10 months ago
2001
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
RECOMB
2007
Springer
15 years 9 months ago
2007
Springer
We present a technique for approximating the free energy of protein structures using Generalized Belief Propagation (GBP). The accuracy and utility of these estimates are then demo...
IPSN
2004
Springer
15 years 2 months ago
2004
Springer
Automatic self-calibration of ad-hoc sensor networks is a critical need for their use in military or civilian applications. In general, self-calibration involves the combination o...
90
Voted
ICAI
2010
14 years 7 months ago
2010
Belief propagation is widely used in inference of graphical models. It yields exact solutions when the underlying graph is singly connected. When the graph contains loops, double-c...
80
Voted
JMLR
2006
14 years 9 months ago
2006
The problem of finding the most probable (MAP) configuration in graphical models comes up in a wide range of applications. In a general graphical model this problem is NP hard, bu...