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» Dynamic multiagent probabilistic inference
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ICMLA
2008
13 years 11 months ago
Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
Volker Willert, Julian Eggert, Marc Toussaint, Edg...
ISPE
2003
13 years 11 months ago
Application of data mining and intelligent agent technologies to concurrent engineering
: Software agent technology has matured enough to produce intelligent agents, which can be used to control a large number of concurrent engineering tasks. Multi-agent systems are c...
Pericles A. Mitkas, Andreas L. Symeonidis, Dionisi...
TARK
2007
Springer
14 years 3 months ago
From conditional probability to the logic of doxastic actions
We investigate the discrete (finite) case of the Popper-Renyi theory of conditional probability, introducing discrete conditional probabilistic models for (multi-agent) knowledge...
Alexandru Baltag, Sonja Smets
CJ
2010
131views more  CJ 2010»
13 years 7 months ago
Probabilistic Approaches to Estimating the Quality of Information in Military Sensor Networks
an be used to abstract away from the physical reality by describing it as components that exist in discrete states with probabilistically invoked actions that change the state. The...
Duncan Gillies, David Thornley, Chatschik Bisdikia...
ICDE
2011
IEEE
237views Database» more  ICDE 2011»
13 years 1 months ago
Creating probabilistic databases from imprecise time-series data
— Although efficient processing of probabilistic databases is a well-established field, a wide range of applications are still unable to benefit from these techniques due to t...
Saket Sathe, Hoyoung Jeung, Karl Aberer