952 search results - page 16 / 191 » Computational complexity of stochastic programming problems |
169
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NC
2008
15 years 6 months ago
2008
A highly desired part of the synthetic biology toolbox is an embedded chemical microcontroller, capable of autonomously following a logic program specified by a set of instructions...
150
Voted
AAAI
2008
15 years 8 months ago
2008
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
273
Voted
POPL
2003
ACM
16 years 6 months ago
2003
ACM
Given a program and two variables p and q, the goal of points-to analysis is to check if p can point to q in some execution of the program. This well-studied problem plays a cruci...
163
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FOCS
2005
IEEE
15 years 12 months ago
2005
IEEE
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
163
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GECCO
2006
Springer
15 years 10 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...