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Published September 2015 | public
Book Section - Chapter

Star Classification Under Data Variability: An Emerging Challenge in Astroinformatics


Astroinformatics is an interdisciplinary field of science that applies modern computational tools to the solution of astronomical problems. One relevant subarea is the use of machine learning for analysis of large astronomical repositories and surveys. In this paper we describe a case study based on the classification of variable Cepheid stars using domain adaptation techniques; our study highlights some of the emerging challenges posed by astroinformatics.

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© 2015 Springer International Publishing Switzerland.

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