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» A Bayesian Approach to Tackling Hard Computational Problems
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CONSTRAINTS
2011
14 years 11 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...
140
Voted
PPSN
2004
Springer
15 years 9 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
137
Voted
CVPR
2004
IEEE
15 years 7 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
125
Voted
CVPR
1999
IEEE
16 years 6 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
122
Voted
PVLDB
2010
116views more  PVLDB 2010»
14 years 10 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