Work

A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning.

Year: 2018

Type: conference-paper

Abstract: Figueroa N, Billard A. A Physically-Consistent Bayesian Non-Parametric Mixture Model for Dynamical System Learning. In: Billard A, Dragan A, Peters J, Morimoto J, eds. 2nd Annual Conference on Robot Learning, CoRL 2018, Zürich, Switzerland, 29-31 October 2018, Proceedings. Proceedings of Machine Learning Research. Vol 87. 2018: 927-946.

Source: Infoscience (Ecole Polytechnique Fédérale de Lausanne)

Authors: Nadia Figueroa, Aude Billard

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2899184737

FWCI: 0.444

Cites: 20

Cited by: 32

Related to: 10