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FLAIRS
2006
15 years 5 months ago
Methods for Constructing Balanced Elimination Trees and Other Recursive Decompositions
A conditioning graph is a form of recursive factorization which minimizes the memory requirements and simplifies the implementation of inference in Bayesian networks. The time com...
Kevin Grant, Michael C. Horsch
NIPS
2003
15 years 5 months ago
Ambiguous Model Learning Made Unambiguous with 1/f Priors
What happens to the optimal interpretation of noisy data when there exists more than one equally plausible interpretation of the data? In a Bayesian model-learning framework the a...
Gurinder S. Atwal, William Bialek
110
Voted
NIPS
2000
15 years 5 months ago
Explaining Away in Weight Space
Explaining away has mostly been considered in terms of inference of states in belief networks. We show how it can also arise in a Bayesian context in inference about the weights g...
Peter Dayan, Sham Kakade
141
Voted
UAI
2000
15 years 5 months ago
Conversation as Action Under Uncertainty
Conversations abound with uncertainties of various kinds. Treating conversation as inference and decision making under uncertainty, we propose a task independent, multimodal archi...
Tim Paek, Eric Horvitz
ICML
2010
IEEE
15 years 5 months ago
Probabilistic Backward and Forward Reasoning in Stochastic Relational Worlds
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...
Tobias Lang, Marc Toussaint