📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Uncertainty quantification in classification problems: a Bayesian approach for predicating the effects of further test sampling

First Author: Phillipson J

Attributed to: UK Status, Change and Projections of the Environment (UK-SCaPE) funded by NERC

Abstract

No abstract provided

Bibliographic Information

Publication URI: http://nora.nerc.ac.uk/id/eprint/526376/

Type: Book Chapter

Book Title: MODSIM2019, 23rd International Congress on Modelling and Simulation. (2019)

Page Reference: 193-199

ISBN: 9780975840092