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cs.AI2010★ 1 cited
A Bayesian Methodology for Estimating Uncertainty of Decisions in Safety-Critical Systems
Vitaly Schetinin, Jonathan Fieldsend, Derek Partridge +4
Uncertainty of decisions in safety-critical engineering applications can be estimated on the basis of the Bayesian Markov Chain Monte Carlo (MCMC) technique of averaging over decis…
cs.AI2010★ 3 cited
Feature Importance in Bayesian Assessment of Newborn Brain Maturity from EEG
L. Jakaite, V. Schetinin, C. Maple
The methodology of Bayesian Model Averaging (BMA) is applied for assessment of newborn brain maturity from sleep EEG. In theory this methodology provides the most accurate assessme…
cs.AI2008
An Evolutionary-Based Approach to Learning Multiple Decision Models from Underrepresented Data
Vitaly Schetinin, Dayou Li, Carsten Maple
The use of multiple Decision Models (DMs) enables to enhance the accuracy in decisions and at the same time allows users to evaluate the confidence in decision making. In this pape…