no code implementations • 21 Apr 2008 • Nicholas M. Ball, Robert J. Brunner, Adam D. Myers, Natalie E. Strand, Stacey L. Alberts, David Tcheng
We apply machine learning in the form of a nearest neighbor instance-based algorithm (NN) to generate full photometric redshift probability density functions (PDFs) for objects in the Fifth Data Release of the Sloan Digital Sky Survey (SDSS DR5).
no code implementations • 17 Dec 2006 • Nicholas M. Ball, Robert J. Brunner, Adam D. Myers, Natalie E. Strand, Stacey L. Alberts, David Tcheng, Xavier Llorà
The instance-based algorithm is trained on a representative sample of the data and pseudo-blind-tested on the remaining unseen data.
astro-ph