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Closed-Form Active Learning using Expected Variance Reduction of Gaussian Process Surrogates for Adaptive Sampling.
George P. Kontoudis
Michael W. Otte
Published in:
ACC (2023)
Keyphrases
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closed form
gaussian process
hyperparameters
active learning
random sampling
semi supervised
posterior distribution
monte carlo
marginal likelihood
approximate inference
machine learning
sample size
latent variables
regression model
labeled data
model selection
training set
generative model
supervised learning