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» On Bayesian model and variable selection using MCMC
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SAFECOMP
2005
Springer
15 years 3 months ago
Generalising Event Trees Using Bayesian Networks with a Case Study of Train Derailment
Event trees are a popular technique for modelling accidents in system safety analyses. Bayesian networks are a probabilistic modelling technique representing influences between unc...
George Bearfield, William Marsh
IPSN
2003
Springer
15 years 2 months ago
Maximum Mutual Information Principle for Dynamic Sensor Query Problems
In this paper we study a dynamic sensor selection method for Bayesian filtering problems. In particular we consider the distributed Bayesian Filtering strategy given in [1] and sh...
Emre Ertin, John W. Fisher, Lee C. Potter
TSP
2010
14 years 4 months ago
Selection policy-induced reduction mappings for Boolean networks
Developing computational models paves the way to understanding, predicting, and influencing the long-term behavior of genomic regulatory systems. However, several major challenges ...
Ivan Ivanov, Plamen Simeonov, Noushin Ghaffari, Xi...
AI
2007
Springer
15 years 3 months ago
Adding Local Constraints to Bayesian Networks
When using Bayesian networks, practitioners often express constraints among variables by conditioning a common child node to induce the desired distribution. For example, an ‘or...
Mark Crowley, Brent Boerlage, David Poole
ICASSP
2011
IEEE
14 years 1 months ago
Simultaneous processing of sound source separation and musical instrument identification using Bayesian spectral modeling
This paper presents a method of both separating audio mixtures into sound sources and identifying the musical instruments of the sources. A statistical tone model of the power spe...
Katsutoshi Itoyama, Masataka Goto, Kazunori Komata...