1450 search results - page 23 / 290 » Complexity of Inference in Graphical Models |
IV
2003
IEEE
14 years 27 days ago
2003
IEEE
In this paper we present a “lightweight” visual formalism that can be used to examine the state space complexity of an interface. The method can form a basis for designing, te...
ICDE
2009
IEEE
13 years 5 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
TSP
2010
13 years 2 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
EURODAC
1994
IEEE
13 years 11 months ago
1994
IEEE
In order to master the growing complexity of analogue electronic systems, modelling and simulation of analogue hardware at various levels is absolutely necessary. This paper prese...