20 search results - page 2 / 4 » Variational inference for Markov jump processes |
IPSN
2004
Springer
13 years 10 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
JMLR
2010
13 years 6 hour ago
2010
We are concerned with a multivariate response regression problem where the interest is in considering correlations both across response variates and across response samples. In th...
3DPVT
2006
IEEE
13 years 9 months ago
2006
IEEE
We present a novel method for detecting and quantifying 3D structure in stacks of microscopic images captured at incremental focal lengths. We express the image data as stochastic...
JMLR
2010
13 years 6 hour ago
2010
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
ICA
2007
Springer
13 years 9 months ago
2007
Springer
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...