565 search results - page 43 / 113 » A Guided Monte Carlo Approach to Optimization Problems |
142
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IOR
2011
14 years 11 months ago
2011
We derive a knowledge gradient policy for an optimal learning problem on a graph, in which we use sequential measurements to refine Bayesian estimates of individual edge values i...
139
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GECCO
2008
Springer
15 years 5 months ago
2008
Springer
In this paper we propose a novel iterative search procedure for multi-objective optimization problems. The iteration process – though derivative free – utilizes the geometry o...
169
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
155
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TCAD
2008
15 years 4 months ago
2008
We present an efficient optimization scheme for gate sizing in the presence of process variations. Our method is a worst-case design scheme, but it reduces the pessimism involved i...
169
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AAAI
1994
15 years 5 months ago
1994
We present a theory of a modeler's problem decomposition skills in the context of optimal reasonzng -- the use of qualitative modeling to strategically guide numerical explor...