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Structure and Distribution Metric for Quantifying the Quality of Uncertainty: Assessing Gaussian Processes, Deep Neural Nets, and Deep Neural Operators for Regression.
Ethan Pickering
Themistoklis P. Sapsis
Published in:
CoRR (2022)
Keyphrases
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gaussian processes
neural nets
gaussian process regression
gaussian process
neural network
covariance function
relevance vector machine
feed forward
multi task
gaussian process models
back propagation
learning tasks
regression model
model selection
artificial neural networks
bayesian framework
text classification