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» A Bayesian Approach to Tackling Hard Computational Problems
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EOR
2007
174views more  EOR 2007»
13 years 7 months ago
A Benders approach for the constrained minimum break problem
This paper presents a hybrid IP/CP algorithm for designing a double round robin schedule with a minimal number of breaks. Both mirrored and non-mirrored schedules with and without ...
Rasmus V. Rasmussen, Michael A. Trick
GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 2 months ago
Articulating user preferences in many-objective problems by sampling the weighted hypervolume
The hypervolume indicator has become popular in recent years both for performance assessment and to guide the search of evolutionary multiobjective optimizers. Two critical resear...
Anne Auger, Johannes Bader, Dimo Brockhoff, Eckart...
ACIVS
2006
Springer
13 years 11 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
ICDM
2006
IEEE
76views Data Mining» more  ICDM 2006»
14 years 1 months ago
How Bayesians Debug
Manual debugging is expensive. And the high cost has motivated extensive research on automated fault localization in both software engineering and data mining communities. Fault l...
Chao Liu 0001, Zeng Lian, Jiawei Han
ICPR
2006
IEEE
14 years 8 months ago
Automatic Alignment of High-Resolution NMR Spectra Using a Bayesian Estimation Approach
Nuclear magnetic resonance (NMR) spectral analysis has recently become one of the major means for the detection and recognition of metabolic changes of disease state, physiologica...
Seoung Bum Kim, Zhou Wang