Sciweavers

Share
220 search results - page 1 / 44
» Learning probabilistic decision graphs
Sort
View
IJAR
2006
89views more  IJAR 2006»
11 years 5 months ago
Learning probabilistic decision graphs
Probabilistic decision graphs (PDGs) are a representation language for probability distributions based on binary decision diagrams. PDGs can encode (context-specific) independence...
Manfred Jaeger, Jens D. Nielsen, Tomi Silander
4OR
2011
54views more  4OR 2011»
10 years 11 months ago
Probabilistic decision graphs for optimization under uncertainty
Abstract This paper provides a survey on probabilistic decision graphs for mod
Finn Verner Jensen, Thomas D. Nielsen
IJAR
2010
152views more  IJAR 2010»
11 years 3 months ago
Structural-EM for learning PDG models from incomplete data
Probabilistic Decision Graphs (PDGs) are a class of graphical models that can naturally encode some context specific independencies that cannot always be efficiently captured by...
Jens D. Nielsen, Rafael Rumí, Antonio Salme...
KR
1994
Springer
11 years 9 months ago
Risk-Sensitive Planning with Probabilistic Decision Graphs
Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Sven Koenig, Reid G. Simmons
ICML
2000
IEEE
12 years 6 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh
books