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» Analysing Probabilistically Constrained Optimism
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IJCAI
2003
14 years 10 months ago
Optimal Time-Space Tradeoff in Probabilistic Inference
Recursive Conditioning, RC, is an any-space algorithm lor exact inference in Bayesian networks, which can trade space for time in increments of the size of a floating point number...
David Allen, Adnan Darwiche
ECCV
2008
Springer
15 years 11 months ago
Constrained Maximum Likelihood Learning of Bayesian Networks for Facial Action Recognition
Probabilistic graphical models such as Bayesian Networks have been increasingly applied to many computer vision problems. Accuracy of inferences in such models depends on the quali...
Cassio Polpo de Campos, Yan Tong, Qiang Ji
EWSN
2006
Springer
15 years 9 months ago
Constrained Tracking on a Road Network
Many applications of wireless ad hoc sensor and actuator networks (WSANs) rely on the knowledge of node locations. These are challenging to obtain when nodes are mobile and are not...
Matthias Grossglauser, Michal Piórkowski
PDPTA
2004
14 years 10 months ago
Evaluation of a Job Admission Algorithm for Bandwidth Constrained Grids
Abstract One of the goals envisioned by Grid computing is to make the execution of both computational and data-intensive problems possible. A key problem is finding the optimal set...
Marc De Leenheer, Pieter Thysebaert, Bruno Volckae...
JUCS
2010
142views more  JUCS 2010»
14 years 7 months ago
Mobile Agent Routing with Time Constraints: A Resource Constrained Longest-Path Approach
: Mobile agent technology advocates the mobility of code rather than the transfer of data. As data is found in several sites, a mobile agent has to plan an itinerary to visit sever...
Eduardo Camponogara, Ricardo Boveto Shima