Physically-Inspired Gaussian Process Models for Post-Transcriptional Regulation in Drosophila. (2021)
Attributed to:
Learning to move as a human: one-shot learning of human motion
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1109/tcbb.2019.2918774
PubMed Identifier: 31144643
Publication URI: http://europepmc.org/abstract/MED/31144643
Type: Journal Article/Review
Volume: 18
Parent Publication: IEEE/ACM transactions on computational biology and bioinformatics
Issue: 2
ISSN: 1545-5963