Active Learning to Overcome Sample Selection Bias: Application to Photometric Variable Star Classification

Joseph W. Richards, Dan L. Starr, Henrik Brink +6

Despite the great promise of machine-learning algorithms to classify and predict astrophysical parameters for the vast numbers of astrophysical sources and transients observed in l…