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, ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!