Stacey L. Alberts

Robust Machine Learning Applied to Astronomical Datasets III: Probabilistic Photometric Redshifts for Galaxies and Quasars in the SDSS and GALEX (2008)

Ball, Nicholas M., Brunner, Robert J., Myers, Adam D., Strand, Natalie E., Alberts, Stacey L., Tcheng, David

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...

Robust Machine Learning Applied to Astronomical Datasets II: Quantifying Photometric Redshifts for Quasars Using Instance-Based Learning (2006)

Ball, Nicholas M., Brunner, Robert J., Myers, Adam D., Strand, Natalie E., Alberts, Stacey L., Tcheng, David, ...

We apply instance-based machine learning in the form of a k-nearest neighbor algorithm to the task of estimating photometric redshifts for 55,746 objects spectroscopically classified as quasars in...