775 search results - page 15 / 155 » First-order probabilistic inference |
IJCAI
2003
13 years 11 months ago
2003
Recursive Conditioning, RC, is an any-space algorithm lor exact inference in Bayesian networks, which can trade space for time in increments of the size of a floating point number...
OSDI
2008
ACM
14 years 10 months ago
2008
ACM
Although queueing models have long been used to model the performance of computer systems, they are out of favor with practitioners, because they have a reputation for requiring u...
IJCAI
2001
13 years 11 months ago
2001
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
IPSN
2004
Springer
14 years 3 months ago
2004
Springer
We present a methodology for a sensor network to answer queries with limited and stochastic information using probabilistic techniques. This capability is useful in that it allows...
UAI
1994
13 years 11 months ago
1994
In this paper we propose a new approach to probabilistic inference on belief networks, global conditioning, which is a simple generalization of Pearl's (1986b) method of loop...