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» Approximate algorithms for neural-Bayesian approaches
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104
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CEC
2008
IEEE
15 years 4 months ago
Auto-tuning fuzzy granulation for evolutionary optimization
—Much of the computational complexity in employing evolutionary algorithms as optimization tool is due to the fitness function evaluation that may either not exist or be computat...
Mohsen Davarynejad, Mohammad R. Akbarzadeh-Totonch...
71
Voted
HVEI
2009
14 years 8 months ago
Improved colour to greyscale via integrability correction
The classical approach to converting colour to greyscale is to code the luminance signal as a grey value image. However, the problem with this approach is that the detail at equil...
Mark S. Drew, David Connah, Graham D. Finlayson, M...
121
Voted
JMLR
2012
13 years 20 days ago
Globally Optimizing Graph Partitioning Problems Using Message Passing
Graph partitioning algorithms play a central role in data analysis and machine learning. Most useful graph partitioning criteria correspond to optimizing a ratio between the cut a...
Elad Mezuman, Yair Weiss
FOCS
1997
IEEE
15 years 2 months ago
Beyond the Flow Decomposition Barrier
We introduce a new approach to the maximum flow problem. This approach is based on assigning arc lengths based on the residual flow value and the residual arc capacities. Our appro...
Andrew V. Goldberg, Satish Rao
AIPS
2008
15 years 16 days ago
Stochastic Planning with First Order Decision Diagrams
Dynamic programming algorithms have been successfully applied to propositional stochastic planning problems by using compact representations, in particular algebraic decision diag...
Saket Joshi, Roni Khardon