Markus Michael Rau

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 3

Top Topics

Regression Model

Locally Weighted

Top Venues

Publications

Biprateep Dey, Jeffrey A. Newman, Brett H. Andrews, Rafael Izbicki, Ann B. Lee, David Zhao, Markus Michael Rau, Alex I. Malz
Re-calibrating Photometric Redshift Probability Distributions Using Feature-space Regression. CoRR (2021)
Paula Branco, Luís Torgo, Rita P. Ribeiro, Eibe Frank, Bernhard Pfahringer, Markus Michael Rau
Learning Through Utility Optimization in Regression Tasks. DSAA (2017)
Roman Zitlau, Ben Hoyle, Kerstin Paech, Jochen Weller, Markus Michael Rau, Stella Seitz
Stacking for machine learning redshifts applied to SDSS galaxies. CoRR (2016)