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» The Complexity of Probabilistic Lobbying
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TSP
2008
99views more  TSP 2008»
15 years 1 months ago
Sphere Decoding With a Probabilistic Tree Pruning
In this paper, we present a near ML-achieving sphere decoding algorithm that reduces the number of search operations in the sphere-constrained search. Specifically, by adding a pro...
Byonghyo Shim, Insung Kang
DAGM
2001
Springer
15 years 6 months ago
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization, and Tracking Using Stereo
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
Georg von Wichert
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 1 months ago
Semantics and Evaluation of Top-k Queries in Probabilistic Databases
Abstract. We study here fundamental issues involved in top-k query evaluation in probabilistic databases. We consider simple probabilistic databases in which probabilities are asso...
Xi Zhang, Jan Chomicki
118
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AAAI
2008
15 years 4 months ago
Learning and Inference with Constraints
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
UAI
1996
15 years 3 months ago
Bucket elimination: A unifying framework for probabilistic inference
Probabilistic inference algorithms for belief updating, nding the most probable explanation, the maximum a posteriori hypothesis, and the maximum expected utility are reformulated...
Rina Dechter