ELM-KNN for photometric redshift estimation of quasars

Publisher： Cambridge University Press

E-ISSN： 1743-9221|12|S325|225-228

ISSN： 1743-9213

Source： Proceedings of the International Astronomical Union, Vol.12, Iss.S325, 2017-05, pp. : 225-228

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Cooperative photometric redshift estimation

By  

Proceedings of the International Astronomical Union, Vol. 12, Iss. S325, 2017-05 ,pp. : 166-172

Cambridge University Press

Access to resources Recommend Favorite

Hierarchical Matching and Regression with Application to Photometric Redshift Estimation

By  

Proceedings of the International Astronomical Union, Vol. 12, Iss. S325, 2017-05 ,pp. : 145-155

Cambridge University Press

Access to resources Recommend Favorite

Dealing with Uncertain Multimodal Photometric Redshift Estimations

By  

Proceedings of the International Astronomical Union, Vol. 12, Iss. S325, 2017-05 ,pp. : 156-165

Cambridge University Press

Access to resources Recommend Favorite

METAPHOR: Probability density estimation for machine learning based photometric redshifts

By  

Proceedings of the International Astronomical Union, Vol. 12, Iss. S325, 2017-05 ,pp. : 197-200

Cambridge University Press

Access to resources Recommend Favorite

Detection of quasars in the time domain

By  

Proceedings of the International Astronomical Union, Vol. 12, Iss. S325, 2017-05 ,pp. : 231-241

Cambridge University Press

Access to resources Recommend Favorite