6 search results - page 1 / 2 » A Bayesian Biosurveillance Method That Models Unknown Outbre... |
77
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BIOSURVEILLANCE
2007
Springer
15 years 3 months ago
2007
Springer
Algorithms for detecting anomalous events can be divided into those that are designed to detect specific diseases and those that are non-specific in what they detect. Specific dete...
81
Voted
UAI
2004
14 years 11 months ago
2004
Early, reliable detection of disease outbreaks is a critical problem today. This paper reports an investigation of the use of causal Bayesian networks to model spatio-temporal pat...
113
Voted
BIOSURVEILLANCE
2008
Springer
14 years 11 months ago
2008
Springer
The Bayesian Aerosol Release Detector (BARD) is a biosurveillance system for detecting and characterizing disease outbreaks caused by aerosol releases of anthrax. A major challenge...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
This paper describes a novel method for explaining Bayesian network (BN) inference when the network is modeling a population of conditionally independent agents, each of which is m...
106
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JCB
2007
14 years 9 months ago
2007
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...