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» Computational Complexity of Probabilistic Disambiguation
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111
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IVA
2010
Springer
15 years 2 months ago
Smart Events and Primed Agents
We describe a new organization for virtual human responses to dynamically occurring events. In our approach behavioral responses are enumerated in the representation of the event i...
Catherine Stocker, Libo Sun, Pengfei Huang, Wenhu ...
147
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AI
2011
Springer
14 years 10 months ago
SampleSearch: Importance sampling in presence of determinism
The paper focuses on developing effective importance sampling algorithms for mixed probabilistic and deterministic graphical models. The use of importance sampling in such graphi...
Vibhav Gogate, Rina Dechter
155
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Urban terrain tracking in high clutter with waveform-agility
We consider the problem of tracking a maneuvering target in urban terrain with high clutter. Although multipath has been previously exploited to improve target tracking in complex...
Bhavana Chakraborty, Jun Jason Zhang, Antonia Papa...
AI
2011
Springer
14 years 7 months ago
Parallelizing a Convergent Approximate Inference Method
Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
Ming Su, Elizabeth Thompson
134
Voted
AAAI
2011
14 years 3 months ago
Stopping Rules for Randomized Greedy Triangulation Schemes
Many algorithms for performing inference in graphical models have complexity that is exponential in the treewidth - a parameter of the underlying graph structure. Computing the (m...
Andrew Gelfand, Kalev Kask, Rina Dechter