952 search results - page 16 / 191 » Computational complexity of stochastic programming problems |
NC
2008
13 years 11 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...
AAAI
2008
14 years 1 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...
POPL
2003
ACM
14 years 11 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...
FOCS
2005
IEEE
14 years 4 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...
GECCO
2006
Springer
14 years 2 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...