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» A Bayesian Approach to Tackling Hard Computational Problems
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CONSTRAINTS
2011
14 years 4 months ago
Solving Steel Mill Slab Problems with constraint-based techniques: CP, LNS, and CBLS
The Steel Mill Slab Problem is an optimization benchmark that has been studied for a long time in the constraint-programming community but was only solved efficiently in the two l...
Pierre Schaus, Pascal Van Hentenryck, Jean-Noë...
89
Voted
PPSN
2004
Springer
15 years 2 months ago
The Application of Bayesian Optimization and Classifier Systems in Nurse Scheduling
Two ideas taken from Bayesian optimization and classifier systems are presented for personnel scheduling based on choosing a suitable scheduling rule from a set for each person’s...
Jingpeng Li, Uwe Aickelin
78
Voted
CVPR
2004
IEEE
15 years 1 months ago
Motion Without Correspondence from Tomographic Projections by Bayesian Inversion Theory
In conventional tomography, the interior of an object is reconstructed from tomographic projections such as X-ray or electron microscope images. All the current reconstruction met...
Sami S. Brandt, Ville Kolehmainen
CVPR
1999
IEEE
15 years 11 months ago
A Novel Bayesian Method for Fitting Parametric and Non-Parametric Models to Noisy Data
We o er a simple paradigm for tting models, parametric and non-parametric, to noisy data, which resolves some of the problems associated with classic MSE algorithms. This is done ...
Michael Werman, Daniel Keren
PVLDB
2010
116views more  PVLDB 2010»
14 years 4 months ago
Computing Closed Skycubes
In this paper, we tackle the problem of efficient skycube computation. We introduce a novel approach significantly reducing domination tests for a given subspace and the number of...
Chedy Raïssi, Jian Pei, Thomas Kister