SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION
Ph.D
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Language: | English |
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2021
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Online Access: | https://scholarbank.nus.edu.sg/handle/10635/193850 |
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sg-nus-scholar.10635-1938502023-08-01T18:00:22Z SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION DAI ZHONGXIANG COMPUTER SCIENCE Kian Hsiang Low PATRICK JAILLET Bayesian optimization,machine learning,artificial intelligence,reinforcement learning,federated learning,game theory Ph.D DOCTOR OF PHILOSOPHY (SOC) 2021-07-08T18:00:21Z 2021-07-08T18:00:21Z 2021-03-05 Thesis DAI ZHONGXIANG (2021-03-05). SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/193850 0000-0003-4963-6141 en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
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NUS Library |
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ScholarBank@NUS |
language |
English |
topic |
Bayesian optimization,machine learning,artificial intelligence,reinforcement learning,federated learning,game theory |
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Bayesian optimization,machine learning,artificial intelligence,reinforcement learning,federated learning,game theory DAI ZHONGXIANG SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
description |
Ph.D |
author2 |
COMPUTER SCIENCE |
author_facet |
COMPUTER SCIENCE DAI ZHONGXIANG |
format |
Theses and Dissertations |
author |
DAI ZHONGXIANG |
author_sort |
DAI ZHONGXIANG |
title |
SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
title_short |
SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
title_full |
SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
title_fullStr |
SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
title_full_unstemmed |
SAMPLE-EFFICIENT AUTOMATED MACHINE LEARNING WITH BAYESIAN OPTIMIZATION |
title_sort |
sample-efficient automated machine learning with bayesian optimization |
publishDate |
2021 |
url |
https://scholarbank.nus.edu.sg/handle/10635/193850 |
_version_ |
1773550818750889984 |