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SBACPAD
2007
IEEE
128views Hardware» more  SBACPAD 2007»
15 years 9 months ago
Node Level Primitives for Parallel Exact Inference
We present node level primitives for parallel exact inference on an arbitrary Bayesian network. We explore the probability representation on each node of Bayesian networks and eac...
Yinglong Xia, Viktor K. Prasanna
127
Voted
IJCAI
2003
15 years 4 months ago
Optimal Time-Space Tradeoff in Probabilistic Inference
Recursive Conditioning, RC, is an any-space algorithm lor exact inference in Bayesian networks, which can trade space for time in increments of the size of a floating point number...
David Allen, Adnan Darwiche
147
Voted
JAIR
2011
129views more  JAIR 2011»
14 years 10 months ago
Exploiting Structure in Weighted Model Counting Approaches to Probabilistic Inference
Previous studies have demonstrated that encoding a Bayesian network into a SAT formula and then performing weighted model counting using a backtracking search algorithm can be an ...
Wei Li 0002, Pascal Poupart, Peter van Beek
126
Voted
IJAR
2010
75views more  IJAR 2010»
15 years 2 months ago
Generalized loopy 2U: A new algorithm for approximate inference in credal networks
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...
Alessandro Antonucci, Yi Sun, Cassio P. de Campos,...
147
Voted
AAAI
2010
15 years 4 months ago
Bayesian Policy Search for Multi-Agent Role Discovery
Bayesian inference is an appealing approach for leveraging prior knowledge in reinforcement learning (RL). In this paper we describe an algorithm for discovering different classes...
Aaron Wilson, Alan Fern, Prasad Tadepalli