New Approaches To Photometric Redshift Prediction
Expanding upon the work of Way & Srivastava (2006) we demonstrate how the use of training sets of comparable size continue to make Gaussian Process Regression a competitive approach to that of Neural Networks and other least squares fitting methods. This is possible via new large size matrix inversion techniques …