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NIPS
2007
15 years 4 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong
UAI
2008
15 years 4 months ago
Church: a language for generative models
Formal languages for probabilistic modeling enable re-use, modularity, and descriptive clarity, and can foster generic inference techniques. We introduce Church, a universal langu...
Noah Goodman, Vikash K. Mansinghka, Daniel M. Roy,...
AIM
2006
15 years 4 months ago
Experimenting with ICT-intensive public and private collaboration projects: The canadian experience
This research examines nine ICT-intensive and innovative projects involving both public and private sectors in the delivery of public services and attempts to identify their main c...
Lise Préfontaine, L. Ricard, Hél&egr...
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FLAIRS
2004
15 years 4 months ago
Highway Vehicle Classification by Probabilistic Neural Networks
The Federal Highway Administration (FHWA) Office of Highway Planning requires states to furnish vehicle classification data as part of the Highway Performance Monitoring Systems (...
Valerian Kwigizile, Majura F. Selekwa, Renatus N. ...
WSC
2004
15 years 4 months ago
Poly-Functional Intelligent Agents for Computer Generated Forces
The authors present the requirement definition and methodological approach for developing a new generation of Computer Generated Forces (CGF) based on Intelligent Agents. The anal...
Matteo Brandolini, Attilio Rocca, Agostino G. Bruz...