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» On Bayesian model and variable selection using MCMC
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SAFECOMP
2005
Springer
15 years 9 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 9 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 10 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 10 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 7 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...