A Probabilistic Model for Aircraft in Climb using Monotonic Functional Gaussian Process Emulators (2022)
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/10.48550/arxiv.2210.01445
Publication URI: https://arxiv.org/abs/2210.01445
Type: Other