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UAI
2004
15 years 8 months ago
Dependent Dirichlet Priors and Optimal Linear Estimators for Belief Net Parameters
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
Peter Hooper
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
15 years 8 months ago
Support vector machine classifiers for sequential decision problems
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...
Eladio Rodriguez Diaz, David A. Castaon
ADHOC
2008
101views more  ADHOC 2008»
15 years 7 months ago
Monte Carlo localization for mobile wireless sensor networks
Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor ne...
Aline Baggio, Koen Langendoen
BIB
2008
108views more  BIB 2008»
15 years 7 months ago
Biobanking for Europe
Biobanks are well-organized resources comprising biological samples and associated information that are accessible to scientific investigation. Across Europe, millions of samples ...
Martin Yuille, Gert-Jan B. van Ommen, Christian Br...
CGF
2008
144views more  CGF 2008»
15 years 7 months ago
High Performance GPU-based Proximity Queries using Distance Fields
Proximity queries such as closest point computation and collision detection have many applications in computer graphics, including computer animation, physics-based modeling, augm...
T. Morvan, M. Reimers, E. Samset