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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/journals/corr/abs-2012-05928>
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dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shantanu_Desai>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/T._N._Varga>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Victor_E._Scarpine>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/William_G._Hartley>
foaf:homepage <https://arxiv.org/abs/2012.05928>
dc:identifier DBLP journals/corr/abs-2012-05928 (xsd:string)
dcterms:issued 2020 (xsd:gYear)
swrc:journal <https://dblp.l3s.de/d2r/resource/journals/corr>
rdfs:label A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/A._Amon>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/A._Choi>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Alex_Drlica-Wagner>
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dc:title A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:Article
rdf:type foaf:Document
swrc:volume abs/2012.05928 (xsd:string)