Sciweavers

283 search results - page 32 / 57
» Probabilistic Inference in Queueing Networks
Sort
View
UAI
1997
13 years 9 months ago
Robustness Analysis of Bayesian Networks with Local Convex Sets of Distributions
Robust Bayesian inference is the calculation of posterior probability bounds given perturbations in a probabilistic model. This paper focuses on perturbations that can be expresse...
Fabio Gagliardi Cozman
VLSID
2006
IEEE
129views VLSI» more  VLSID 2006»
14 years 8 months ago
A Stimulus-Free Probabilistic Model for Single-Event-Upset Sensitivity
With device size shrinking and fast rising frequency ranges, effect of cosmic radiations and alpha particles known as Single-Event-Upset (SEU), Single-Eventtransients (SET), is a ...
Mohammad Gh. Mohammad, Laila Terkawi, Muna Albasma...
NIPS
2004
13 years 9 months ago
Bayesian inference in spiking neurons
We propose a new interpretation of spiking neurons as Bayesian integrators accumulating evidence over time about events in the external world or the body, and communicating to oth...
Sophie Deneve
MOBIHOC
2006
ACM
14 years 7 months ago
Throughput and delay optimization in interference-limited multihop networks
The performance of a multihop wireless network is typically affected by the interference caused by transmissions in the same network. In a statistical fading environment, the inte...
Ahmed Bader, Eylem Ekici
HIS
2004
13 years 9 months ago
Neural Networks and Belief Logic
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Yuan Yan Chen, Joseph J. Chen