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

(14 Jun 2011) 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 large-scale surveys, the peculiarities of the training data often manifest as strongly biased predictions on ...

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