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» A computational model of belief
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NIPS
2003
15 years 7 months ago
Applying Metric-Trees to Belief-Point POMDPs
Recent developments in grid-based and point-based approximation algorithms for POMDPs have greatly improved the tractability of POMDP planning. These approaches operate on sets of...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
AAAI
1990
15 years 7 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
SAT
2005
Springer
145views Hardware» more  SAT 2005»
15 years 11 months ago
A New Approach to Model Counting
We introduce ApproxCount, an algorithm that approximates the number of satisfying assignments or models of a formula in propositional logic. Many AI tasks, such as calculating degr...
Wei Wei, Bart Selman
CORR
2007
Springer
118views Education» more  CORR 2007»
15 years 6 months ago
Discriminated Belief Propagation
— Decisions on sources with memory transmitted over independent channels can be taken by employing trellis calculations. In this paper, it is shown that for a certain class of fu...
Uli Sorger
ICML
2010
IEEE
15 years 7 months ago
Exploiting Data-Independence for Fast Belief-Propagation
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
Julian John McAuley, Tibério S. Caetano