A probabilistic model for aircraft in climb using monotonic functional Gaussian process emulators (2023)
Attributed to:
Advancing Probabilistic Machine Learning to Deliver Safer, More Efficient, and Predictable Air Traffic Control
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1098/rspa.2022.0607
Publication URI: http://dx.doi.org/10.1098/rspa.2022.0607
Type: Journal Article/Review
Parent Publication: Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
Issue: 2271