Matthias Bussas

Publication Activity (10 Years)

Years Active: 2015-2017
Publications (10 Years): 3

Top Topics

Machine Learning

Dynamical Models

Hyperparameters

Variational Inference

Top Venues

Publications

Matthias Bussas, Christoph Sawade, Nicolas Kühn, Tobias Scheffer, Niels Landwehr
Varying-coefficient models for geospatial transfer learning. Mach. Learn. 106 (9-10) (2017)
Bilal A. Mateen, Matthias Bussas, Catherine Doogan, Denise Waller, Alessia Saverino, Franz J. Király, E. Diane Playford
Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population. CoRR (2016)
Matthias Bussas, Christoph Sawade, Tobias Scheffer, Niels Landwehr
Varying-coefficient models with isotropic Gaussian process priors. CoRR (2015)