A gradient-style boosting of GP covariance priors learns nonstationary signal and noise variances and improves out-of-sample ionospheric predictions over South America.
C Holmes , title =
1 Pith paper cite this work, alongside 205 external citations. Polarity classification is still indexing.
1
Pith paper citing it
205
external citations · OpenAlex
fields
stat.ML 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Covariance-Boosted Gaussian Processes for Spatiotemporal Irregularities
A gradient-style boosting of GP covariance priors learns nonstationary signal and noise variances and improves out-of-sample ionospheric predictions over South America.