Predicting the Redshift of γ-Ray-loud AGNs Using Supervised Machine Learning-Reference-Cited by-同舟云学术

Predicting the Redshift of γ-Ray-loud AGNs Using Supervised Machine Learning

Published:2021-10-01 Issue:2 Volume:920 Page:118
ISSN:0004-637X
Container-title:The Astrophysical Journal
language:
Short-container-title:ApJ

Author:

Dainotti Maria Giovanna^ORCID,Bogdan Malgorzata,Narendra Aditya,Gibson Spencer James,Miasojedow Blazej,Liodakis Ioannis,Pollo Agnieszka,Nelson Trevor,Wozniak Kamil,Nguyen Zooey^ORCID,Larrson Johan

Publisher

American Astronomical Society

Subject

Space and Planetary Science,Astronomy and Astrophysics

Link

https://iopscience.iop.org/article/10.3847/1538-4357/ac1748/pdf

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4. Robust Machine Learning Applied to Astronomical Data Sets. III. Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS andGALEX

5. On the Foundations of Statistical Inference

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