Comparison of Approaches to Photometric Redshift Estimation of Quasars
Abstract
We probe many kinds of approaches used for photometric redshift estimation of quasars, including KNN (K-nearest neighbor algorithm), Lasso (Least Absolute Shrinkage and Selection Operator), PLS (Partial Least Square regression), ridge regression, SGD (Stochastic Gradient Descent) and Extra-Trees.
- Publication:
-
Galaxies at High Redshift and Their Evolution Over Cosmic Time
- Pub Date:
- 2016
- DOI:
- 10.1017/S1743921315009989
- Bibcode:
- 2016IAUS..319..146T
- Keywords:
-
- Photometric redshifts;
- quasars;
- data mining;
- machine learning