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2021 ◽  
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N. Dikhaminjia ◽  
G. Tsintsadze ◽  
Z. Kiguradze ◽  
J. He ◽  
M. Tsiklauri ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Speed ◽  
Bayesian Machine Learning

Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning

2021 ◽  
Vol 139 ◽  
pp. 105002
Author(s):  
Rohitash Chandra ◽  
Sally Cripps ◽  
Nathaniel Butterworth ◽  
R. Dietmar Muller
Keyword(s):  
Machine Learning ◽  
Precipitation Reconstruction ◽  
Bayesian Machine Learning

Geometrical design of a crystal growth system guided by a machine learning algorithm

CrystEngComm ◽  
2021 ◽  
Author(s):  
Wancheng Yu ◽  
Can Zhu ◽  
Yosuke Tsunooka ◽  
Wei Huang ◽  
Yifan Dang ◽  
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Keyword(s):  
Machine Learning ◽  
Crystal Growth ◽  
High Speed ◽  
Learning Algorithm ◽  
Computational Techniques ◽  
Machine Learning Algorithm ◽  
Geometrical Design ◽  
Large Numbers ◽  
Growth System ◽  
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This study proposes a new high-speed method for designing crystal growth systems. It is capable of optimizing large numbers of parameters simultaneously which is difficult for traditional experimental and computational techniques.

Bayesian Machine Learning: EEG\/MEG signal processing measurements

2016 ◽  
Vol 33 (1) ◽  
pp. 14-36 ◽  
Author(s):  
Wei Wu ◽  
Srikantan Nagarajan ◽  
Zhe Chen
Keyword(s):  
Machine Learning ◽  
Signal Processing ◽  
Bayesian Machine Learning
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