Understanding Heating in Active Region Cores through Machine Learning. II. Classifying Observations
Author:
Funder
NSF ∣ National Science Board
Publisher
American Astronomical Society
Subject
Space and Planetary Science,Astronomy and Astrophysics
Link
https://iopscience.iop.org/article/10.3847/1538-4357/ac1514/pdf
Reference69 articles.
1. Permutation importance: a corrected feature importance measure
2. Understanding Heating in Active Region Cores through Machine Learning. I. Numerical Modeling and Predicted Observables
3. INFERENCE OF HEATING PROPERTIES FROM “HOT” NON-FLARING PLASMAS IN ACTIVE REGION CORES. I. SINGLE NANOFLARES
4. PREDICTING CORONAL MASS EJECTIONS USING MACHINE LEARNING METHODS
5. The cooling of coronal plasmas
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