3715 search results - page 251 / 743 » A Space Optimization for FP-Growth |
209
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ICDCS
2010
IEEE
15 years 10 months ago
2010
IEEE
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
184
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EVOW
2006
Springer
15 years 10 months ago
2006
Springer
Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
221
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CC
2008
Springer
15 years 8 months ago
2008
Springer
The polyhedral model provides powerful abstractions to optimize loop nests with regular accesses. Affine transformations in this model capture a complex sequence of execution-reord...
196
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GECCO
2008
Springer
15 years 7 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
155
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CORR
2006
Springer
15 years 6 months ago
2006
Springer
The decision tree is one of the most fundamental ing abstractions. A commonly used type of decision tree is the alphabetic binary tree, which uses (without loss of generality) &quo...