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» A Heuristic for Nonlinear Global Optimization
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ECML
2006
Springer
14 years 9 days ago
Ensembles of Nearest Neighbor Forecasts
Nearest neighbor forecasting models are attractive with their simplicity and the ability to predict complex nonlinear behavior. They rely on the assumption that observations simila...
Dragomir Yankov, Dennis DeCoste, Eamonn J. Keogh
CG
2005
Springer
13 years 8 months ago
Adaptive density estimation using an orthogonal series for global illumination
In Monte-Carlo photon-tracing methods energy-carrying particles are traced in an environment to generate hit points on object surfaces for simulating global illumination. The surf...
Kam Wah Wong, Wenping Wang
IPPS
2006
IEEE
14 years 2 months ago
An optimal approach to the task allocation problem on hierarchical architectures
We present a SAT-based approach to the task and message allocation problem of distributed real-time systems with hierarchical architectures. In contrast to the heuristic approache...
Alexander Metzner, Martin Fränzle, Christian ...
HPCA
2008
IEEE
14 years 9 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 8 days ago
Hybrid search for cardinality constrained portfolio optimization
In this paper, we describe how a genetic algorithm approach added to a simulated annealing (SA) process offers a better alternative to find the mean variance frontier in the portf...
Miguel A. Gomez, Carmen X. Flores, Maria A. Osorio