141 search results - page 1 / 29 » Approximate algorithms for credal networks with binary varia... |
IJAR
2010
13 years 9 months ago
2010
Credal nets generalize Bayesian nets by relaxing the requirement of precision of probabilities. Credal nets are considerably more expressive than Bayesian nets, but this makes bel...
IJAR
2008
13 years 11 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...
IPMU
2010
Springer
14 years 3 months ago
2010
Springer
Abstract. Credal sets are closed convex sets of probability mass functions. The lower probabilities specified by a credal set for each element of the power set can be used as cons...
IJAR
2008
13 years 11 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...
SUM
2009
Springer
14 years 5 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...