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Comparing Methods for Estimating Marginal Likelihood in Symbolic Regression
Document ID
20240007699
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Patrick Leser
(Langley Research Center Hampton, United States)
Geoffrey Bomarito
(Langley Research Center Hampton, United States)
Gabriel Kronberger
(University of Applied Sciences Upper Austria Wels, Austria)
Fabricio Olivetti de Franca
(Universidade Federal do ABC Santo André, Brazil)
Date Acquired
June 17, 2024
Subject Category
Mathematical and Computer Sciences (General)
Statistics and Probability
Meeting Information
Meeting: The Genetic and Evolutionary Computation Conference
Location: Melbourne
Country: AU
Start Date: July 14, 2024
End Date: July 18, 2024
Sponsors: Association for Computing Machinery Special Interest Group on Genetic and Evolutionary Computation (SIGEVO)
Funding Number(s)
WBS: 869021.03.23.02.01
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
NASA Technical Management
Keywords
symbolic regression
uncertainty quantification
bayesian model selection
machine learning
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