143 search results - page 1 / 29 » Modeling Unreliable Observations in Bayesian Networks by Cre... |
SUM
2009
Springer
13 years 11 months ago
2009
Springer
Bayesian networks are probabilistic graphical models widely employed in AI for the implementation of knowledge-based systems. Standard inference algorithms can update the beliefs a...
IJAR
2008
13 years 5 months ago
2008
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Credal nets appear to be power...
KES
2007
Springer
13 years 11 months ago
2007
Springer
According to widely accepted guidelines for self-regulation, the capital requirements of a bank should relate to the level of risk with respect to three different categories. Amon...
AI
2000
Springer
13 years 4 months ago
2000
Springer
Credal networks are models that extend Bayesian nets to deal with imprecision in probability, and can actually be regarded as sets of Bayesian nets. Evidence suggests that credal ...
IJAR
2008
13 years 5 months ago
2008
This paper presents a family of algorithms for approximate inference in credal networks (that is, models based on directed acyclic graphs and set-valued probabilities) that contai...