Uncertain photometric redshifts via combining deep convolutional and mixture density networks
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BiBTeXSEEK ID: https://publications.h-its.org/publications/1133
Research Groups: Astroinformatics
Publication type: InProceedings
Book Title: 25th European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 26-28, 2017
Citation: In 25th European Symposium on Artificial Neural Networks, ESANN 2015, Bruges, Belgium, April 26-28, 2017
Date Published: 2017
URL: https://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2017-56.pdf
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Created: 5th May 2020 at 15:41
Last updated: 5th Mar 2024 at 21:24
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Research Groups: Astroinformatics
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Astroinformatics
Institutions: Heidelberg Institute for Theoretical Studies
Research Groups: Scientific Databases and Visualisation, Astroinformatics, Data Mining and Uncertainty Quantification, Groups and Geometry, Natural Language Processing, Computational Molecular Evolution, Computational Carbon Chemistry, Physics of Stellar Objects, Playground, Molecular and Cellular Modeling, Stellar Evolution Theory, SIMPLAIX
Institutions: Heidelberg Institute for Theoretical Studies
Public web page: Not specified
