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Practical Bayesian optimization

Published in University of Alberta Library • Jan 1, 2008
Authors:
Daniel J. Lizotte

Abstract

Global optimization of non-convex functions over real vector spaces is a problem of widespread theoretical and practical interest. In the past fifty years, research in global optimization has produced many important approaches including Lipschitz optimization, simulated annealing, homotopy methods, ...

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