scholarly journals Improved Neutral Density Predictions through Machine Learning Enabled Exospheric Temperature Model

Space Weather ◽  
2021 ◽  
Author(s):  
Richard J. Licata ◽  
Piyush M. Mehta ◽  
Daniel R. Weimer ◽  
W. Kent Tobiska
Keyword(s):  
Machine Learning ◽  
Neutral Density ◽  
Temperature Model ◽  
Exospheric Temperature

scholarly journals Improved Neutral Density Predictions through Machine Learning Enabled Exospheric Temperature Model

2021 ◽  
Author(s):  
Richard Joseph Licata ◽  
Piyush M Mehta ◽  
Daniel R Weimer ◽  
W. Kent Tobiska
Keyword(s):  
Machine Learning ◽  
Neutral Density ◽  
Temperature Model ◽  
Exospheric Temperature

scholarly journals An Exospheric Temperature Model Using a Polyhedral Grid

2020 ◽  
Author(s):  
Daniel Weimer ◽  
Piyush Mehta ◽  
W Kent Tobiska ◽  
Martin Mlynczak ◽  
Linda Hunt
Keyword(s):  
Temperature Model ◽  
Polyhedral Grid ◽  
Exospheric Temperature

An exospheric temperature model from CHAMP thermospheric density

Space Weather ◽  
2017 ◽  
Vol 15 (2) ◽  
pp. 343-351 ◽  
Author(s):  
Libin Weng ◽  
Jiuhou Lei ◽  
Eric Sutton ◽  
Xiankang Dou ◽  
Hanxian Fang
Keyword(s):  
Temperature Model ◽  
Exospheric Temperature

An Exospheric Temperature Model Based On CHAMP Observations and TIEGCM Simulations

Space Weather ◽  
2018 ◽  
Vol 16 (2) ◽  
pp. 147-156 ◽  
Author(s):  
Haibing Ruan ◽  
Jiuhou Lei ◽  
Xiankang Dou ◽  
Siqing Liu ◽  
Ercha Aa
Keyword(s):  
Temperature Model ◽  
Model Based ◽  
Exospheric Temperature

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning

Phase Transitions in Machine Learning

2009 ◽  
Author(s):  
Lorenza Saitta ◽  
Attilio Giordana ◽  
Antoine Cornuejols
Keyword(s):  
Machine Learning ◽  
Phase Transitions
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