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GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 2 months ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
IPPS
1994
IEEE
13 years 12 months ago
A Comparison of Heuristics for Scheduling DAGs on Multiprocessors
Many algorithms to schedule DAGs on multiprocessors have been proposed, but there has been little work done to determine their effectiveness. Since multi-processor scheduling is a...
Carolyn McCreary, A. A. Khan, J. J. Thompson, M. E...
NIPS
2008
13 years 9 months ago
Bayesian Network Score Approximation using a Metagraph Kernel
Many interesting problems, including Bayesian network structure-search, can be cast in terms of finding the optimum value of a function over the space of graphs. However, this fun...
Benjamin Yackley, Eduardo Corona, Terran Lane
GRAPHICSINTERFACE
2000
13 years 9 months ago
Anisotropic Feature-Preserving Denoising of Height Fields and Bivariate Data
In this paper, we present an efficient way to denoise bivariate data like height fields, color pictures or vector fields, while preserving edges and other features. Mixing surface...
Mathieu Desbrun, Mark Meyer, Peter Schröder, ...
ICCAD
2007
IEEE
107views Hardware» more  ICCAD 2007»
14 years 4 months ago
Computation of minimal counterexamples by using black box techniques and symbolic methods
— Computing counterexamples is a crucial task for error diagnosis and debugging of sequential systems. If an implementation does not fulfill its specification, counterexamples ...
Tobias Nopper, Christoph Scholl, Bernd Becker