Publikation

gmr: Gaussian Mixture Regression

Alexander Fabisch

In: Journal of Open Source Software (JOSS) Journal of Open Source Software 6 62 Seite 3054 6(62), 3054 The Open Journal 6/2021.

Abstrakt

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

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence