117 citations · 133 across the 8 of their papers we have counts for
4 papers · 1 filter
General regularization in covariate shift adaptation
Duc Hoan Nguyen, Sergei V. Pereverzyev, Werner Zellinger
Sample reweighting is one of the most widely used methods for correcting the error of least squares learning algorithms in reproducing kernel Hilbert spaces (RKHS), that is caused…
Adaptive learning of density ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
Estimating the ratio of two probability densities from finitely many observations of the densities is a central problem in machine learning and statistics with applications in two-…
Domain Generalization by Functional Regression
Markus Holzleitner, Sergei V. Pereverzyev, Werner Zellinger
The problem of domain generalization is to learn, given data from different source distributions, a model that can be expected to generalize well on new target distributions which…
A deep learning approach to diabetic blood glucose prediction
H. N. Mhaskar, S. V. Pereverzyev, M. D. van der Walt
We consider the question of 30-minute prediction of blood glucose levels measured by continuous glucose monitoring devices, using clinical data. While most studies of this nature d…