1 code implementation • 22 Feb 2022 • Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Muñoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
We present a method to approximate Gaussian process regression models for large datasets by considering only a subset of the data.
no code implementations • 15 Apr 2017 • Jan Kremer, Kristoffer Stensbo-Smidt, Fabian Gieseke, Kim Steenstrup Pedersen, Christian Igel
Astrophysics and cosmology are rich with data.
1 code implementation • 17 Nov 2015 • Kristoffer Stensbo-Smidt, Fabian Gieseke, Christian Igel, Andrew Zirm, Kim Steenstrup Pedersen
This study promotes a feature selection algorithm, which selects the most informative magnitudes and colours for a given task of estimating physical quantities from photometric data alone.