Publication
gmr: Gaussian Mixture Regression
Alexander Fabisch
In: Journal of Open Source Software (JOSS), Journal of Open Source Software, Vol. 6, No. 62, Page 3054, 6(62), 3054, The Open Journal, 6/2021.
Abstract
gmr is a Python library for Gaussian mixture regression (GMR). GMR is a regression approach
that models probability distributions rather than functions. Hence, it is possible to model
multimodal mappings.
In GMR we first learn a joint probability distribution p(x; y) of input x and output y through
expectation maximization (Dempster et al., 1977) and then compute the conditional distribution
p(yjx) to make predictions. Thus, training is the same procedure as in a standard
Gaussian mixture model (GMM).
Projekte
TransFit - Flexible interaction for infrastructures establishment by means of teleoperation and direct collaboration; transfer into industry 4.0,
APRIL - Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes
APRIL - Multipurpose robotics for mAniPulation of defoRmable materIaLs in manufacturing processes