741 search results - page 66 / 149 » A Markov random field model for term dependencies |
IBPRIA
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. This paper extends and generalizes the Bayesian semisupervised segmentation algorithm [1] for oil spill detection using SAR images. In the base algorithm on which we buil...
ASPDAC
2009
ACM
15 years 4 months ago
2009
ACM
Majority of practical multivariate statistical analyses and optimizations model interdependence among random variables in terms of the linear correlation among them. Though linear...
UAI
2004
14 years 11 months ago
2004
We present new MCMC algorithms for computing the posterior distributions and expectations of the unknown variables in undirected graphical models with regular structure. For demon...
CORR
2010
Springer
14 years 10 months ago
2010
Springer
The causal Markov condition (CMC) is a postulate that links observations to causality. It describes the conditional independences among the observations that are entailed by a cau...
ATAL
2008
Springer
14 years 11 months ago
2008
Springer
Decentralized Markov decision processes are frequently used to model cooperative multi-agent systems. In this paper, we identify a subclass of general DEC-MDPs that features regul...