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» Using Machine Learning to Focus Iterative Optimization
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CORR
2008
Springer
118views Education» more  CORR 2008»
15 years 3 months ago
Distributed Constrained Optimization with Semicoordinate Transformations
Recent work has shown how information theory extends conventional full-rationality game theory to allow bounded rational agents. The associated mathematical framework can be used ...
William G. Macready, David Wolpert
190
Voted
SAGA
2009
Springer
15 years 9 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
ICML
2006
IEEE
16 years 4 months ago
Semi-supervised nonlinear dimensionality reduction
The problem of nonlinear dimensionality reduction is considered. We focus on problems where prior information is available, namely, semi-supervised dimensionality reduction. It is...
Xin Yang, Haoying Fu, Hongyuan Zha, Jesse L. Barlo...
SEAL
1998
Springer
15 years 7 months ago
Automating Space Allocation in Higher Education
The allocation of office space in any large institution is usually a problematical issue, which often demands a substantial amount of time to perform manually. The result of this a...
Edmund K. Burke, D. B. Varley
113
Voted
HPCA
2008
IEEE
16 years 3 months ago
Roughness of microarchitectural design topologies and its implications for optimization
Recent advances in statistical inference and machine learning close the divide between simulation and classical optimization, thereby enabling more rigorous and robust microarchit...
Benjamin C. Lee, David M. Brooks