Neural Meta Learning for Multifidelity Bayesian Optimization
碩士 === 國立交通大學 === 電機工程學系 === 107 === Bayesian optimization (BO) has recently demonstrated to be powerful in optimizing an unknown (possibly non-convex with no closed-form derivative) target function using a finite budget to evaluate a complicated and computationally expensive function. BO methods ty...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2018
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Online Access: | http://ndltd.ncl.edu.tw/handle/7wz9m9 |