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Filling the gap between GRACE- and GRACE-FO-derived terrestrial water storage anomalies with Bayesian convolutional neural networks.
Shaoxing Mo
Yulong Zhong
Xiaoqing Shi
Wei Feng
Xin Yin
Jichun Wu
Published in:
CoRR (2021)
Keyphrases
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convolutional neural networks
convolutional network
join algorithms
anomaly detection
data storage
storage and retrieval
data driven
first order logic
posterior probability
bayesian inference
bayesian estimation
bayesian networks
data structure
data warehouse
maximum likelihood
intrusion detection