6 search results - page 1 / 2 » A Bayesian Biosurveillance Method That Models Unknown Outbre... |
BIOSURVEILLANCE
2007
Springer
13 years 11 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...
UAI
2004
13 years 6 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...
BIOSURVEILLANCE
2008
Springer
13 years 6 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
13 years 6 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...
JCB
2007
13 years 4 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, ...