A machine learning approach to Cepheid variable star classification using data alignment and maximum likelihood-Reference-Cited by-同舟云学术

A machine learning approach to Cepheid variable star classification using data alignment and maximum likelihood

Published:2013-08 Issue: Volume:2 Page:46-53
ISSN:2213-1337
Container-title:Astronomy and Computing
language:en
Short-container-title:Astronomy and Computing

Author:

Vilalta Ricardo,Gupta Kinjal Dhar,Macri Lucas

Funder

NASA

National Science Foundation

Texas A&M University

Publisher

Elsevier BV

Subject

Computer Science Applications,Astronomy and Astrophysics,Space and Planetary Science

Reference24 articles.

1. Bach, S.H., Maloof, M.A., 2010. A Bayesian approach to concept drift. In: Proceedings of the International Conference on Neural Information Processing Systems, pp. 127–135.

2. Discriminative learning under covariate shift;Bickel;Journal of Machine Learning Research,2009

3. Theory of Stellar Pulsation;Cox,1980

4. Automated supervised classification of variable stars;Debosscher;Astronomy & Astrophysics,2007

5. Covariate shift by kernel mean matching;Gretton,2009

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Review of Domain Adaptation without Target Labels;IEEE Transactions on Pattern Analysis and Machine Intelligence;2021-03-01

2. Transfer Learning in Astronomy: A New Machine-Learning Paradigm;Journal of Physics: Conference Series;2018-09

3. Forecasting Solar Flares Using Magnetogram-based Predictors and Machine Learning;Solar Physics;2018-01-30

4. On the realistic validation of photometric redshifts;Monthly Notices of the Royal Astronomical Society;2017-03-22

5. Exploring the spectroscopic diversity of Type Ia supernovae with dracula: a machine learning approach;Monthly Notices of the Royal Astronomical Society;2016-05-24