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» The Computational Complexity of Probabilistic Planning
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CMG
2004
14 years 5 days ago
Quality of Service Aspects and Metrics In Grid Computing
Grid computing promises to become the future computing paradigm for enterprise application after having shown to be a quite effective computing paradigm for resource-intensive sci...
Daniel A. Menascé, Emiliano Casalicchio
CG
2006
Springer
13 years 10 months ago
Computational methods for understanding 3D shapes
Understanding shapes has been a challenging issue for many years, firstly motivated by computer vision and more recently by many complex applications in diverse fields, such as me...
Marco Attene, Silvia Biasotti, Michela Mortara, Gi...
IJAR
2008
118views more  IJAR 2008»
13 years 10 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
CVPR
2008
IEEE
15 years 23 days ago
Sparse probabilistic regression for activity-independent human pose inference
Discriminative approaches to human pose inference involve mapping visual observations to articulated body configurations. Current probabilistic approaches to learn this mapping ha...
Raquel Urtasun, Trevor Darrell
AGI
2008
14 years 6 days ago
A computational approximation to the AIXI model
Universal induction solves in principle the problem of choosing a prior to achieve optimal inductive inference. The AIXI theory, which combines control theory and universal induct...
Sergey Pankov