69 search results - page 3 / 14 » Bayesian inference in linear models with a random Gaussian m... |
BMCBI
2007
13 years 5 months ago
2007
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
NIPS
2003
13 years 7 months ago
2003
We present an analysis of concentration-of-expectation phenomena in layered Bayesian networks that use generalized linear models as the local conditional probabilities. This frame...
TSP
2011
13 years 21 days ago
2011
—Many complex dynamical phenomena can be effectively modeled by a system that switches among a set of conditionally linear dynamical modes. We consider two such models: the switc...
ICCV
2009
IEEE
13 years 3 months ago
2009
IEEE
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
ICASSP
2009
IEEE
2009
IEEE
Time-space-sequential algorithms for distributed Bayesian state estimation in serial sensor networks
14 years 15 days ago
We consider distributed estimation of a time-dependent, random state vector based on a generally nonlinear/non-Gaussian state-space model. The current state is sensed by a serial ...