2485 search results - page 3 / 497 » Distributed parameter estimation in networks |
NIPS
2000
13 years 6 months ago
2000
Bayesian networks are graphical representations of probability distributions. In virtually all of the work on learning these networks, the assumption is that we are presented with...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
This paper proposes a guaranteed robust bounded-error distributed estimation algorithm. It may be employed to perform parameter estimation from data collected in a network of wire...
GECCO
2009
Springer
13 years 12 months ago
2009
Springer
Mathematical modeling for gene regulative networks (GRNs) provides an effective tool for hypothesis testing in biology. A necessary step in setting up such models is the estimati...
BMCBI
2006
13 years 5 months ago
2006
Background: The modeling of dynamic systems requires estimating kinetic parameters from experimentally measured time-courses. Conventional global optimization methods used for par...
UAI
2004
13 years 6 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...