Robust machine learning applied to astronomical data sets. II. Quantifying photometric redshifts for quasars using instance-based learning

Astrophysical Journal

Volumn 663, Issue 2 I, 2007, Pages 774-780

  Ball, Nicholas M ^a   Brunner, Robert J ^a   Myers, Adam D ^a   Strand, Natalie E ^b   Alberts, Stacey L ^a   Tcheng, David ^a   Llorà, Xavier ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b United States of America   (United States)

Author keywords

Catalogs; Cosmology: miscellaneous; Methods: data analysis; Quasars: general

Indexed keywords

EID: 34547433063     PISSN: 0004637X     EISSN: 15384357     Source Type: Journal    
DOI: 10.1086/518362     Document Type: Article

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