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» A Bayesian Approach to Tackling Hard Computational Problems
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COR
2006
95views more  COR 2006»
13 years 7 months ago
Hybrid meta-heuristics algorithms for task assignment in heterogeneous computing systems
In this paper we tackle the task assignment problem (TSAP) in heterogeneous computer systems. The TSAP consists of assigning a given distributed computer program formed by a numbe...
Sancho Salcedo-Sanz, Yong Xu, Xin Yao
ML
2008
ACM
222views Machine Learning» more  ML 2008»
13 years 7 months ago
Boosted Bayesian network classifiers
The use of Bayesian networks for classification problems has received significant recent attention. Although computationally efficient, the standard maximum likelihood learning me...
Yushi Jing, Vladimir Pavlovic, James M. Rehg
IJIIDS
2008
95views more  IJIIDS 2008»
13 years 7 months ago
Tightly-coupled GIS data in GNSS fix computations with integrity testing
: Global Navigation Satellite Systems (GNSS) are often used to localise a receiver with respect to a given map. This association problem, also known as map-matching, is usually add...
Clément Fouque, Philippe Bonnifait
PROMISE
2010
13 years 2 months ago
Exploiting count spectra for Bayesian fault localization
Background: Automated diagnosis of software defects can drastically increase debugging efficiency, improving reliability and time-to-market. Current, low-cost, automatic fault dia...
Rui Abreu, Alberto González-Sanchez, Arjan ...
ICIP
1999
IEEE
13 years 11 months ago
Nonlinear Multigrid Optimization for Bayesian Diffusion Tomography
Optical diffusion tomography attempts to reconstruct an object cross section from measurements of scattered and attenuated light. While Bayesian approaches are well suited to this...
Jong Chul Ye, Charles A. Bouman, Rick P. Millane, ...