In a similar manner to the work for classification, the D2K framework was used to assign photometric redshifts to quasars in the SDSS DR5 using instance-based learning.
Early results (using decision trees) were presented on a poster at the 208th meeting of the American Astronomical Society, and the paper is in ApJ.
Our main result is that photometric redshifts can be assigned without regions of 'catastrophic failures' (large z_photo - z_spectro) previously seen in the literature.
Last modified: Mar 27th 2008