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» A computational model of belief
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IPMU
2010
Springer
13 years 5 months ago
Approximation of Data by Decomposable Belief Models
It is well known that among all probabilistic graphical Markov models the class of decomposable models is the most advantageous in the sense that the respective distributions can b...
Radim Jirousek
ECML
2005
Springer
14 years 26 days ago
Using Rewards for Belief State Updates in Partially Observable Markov Decision Processes
Partially Observable Markov Decision Processes (POMDP) provide a standard framework for sequential decision making in stochastic environments. In this setting, an agent takes actio...
Masoumeh T. Izadi, Doina Precup
ICCS
2007
Springer
13 years 11 months ago
Belief Flow in Assertion Networks
We define an abstract model of belief propagation on a graph based on the methodology of the revision theory of truth together with the Assertion Network Toolkit, a graphical inter...
Sujata Ghosh, Benedikt Löwe, Erik Scorelle
JMLR
2010
169views more  JMLR 2010»
13 years 2 months ago
Focused Belief Propagation for Query-Specific Inference
With the increasing popularity of largescale probabilistic graphical models, even "lightweight" approximate inference methods are becoming infeasible. Fortunately, often...
Anton Chechetka, Carlos Guestrin
AAAI
1990
13 years 8 months ago
Decidable Reasoning in First-Order Knowledge Bases with Perfect Introspection
Since knowledge bases (KBs) are usually incomplete, they should be able to provide information regarding their own incompleteness, which requires them to introspect on what they k...
Gerhard Lakemeyer