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https://openreview.net/forum?id=J0VwrRusud&referrer=%5Bthe%20profile%20of%20Daniel%20Hern%C3%A1ndez-Lobato%5D(%2Fprofile%3Fid%3D~Daniel_Hern%C3%A1ndez-Lobato1)
Bayesian optimization (BO) methods based on information theory have obtained state-of-the-art results in several tasks. These techniques heavily rely on the...
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https://informationentropy.com/new-buffalo/
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https://www.mdpi.com/journal/entropy/special_issues/R4FG64B9J5
In the past two decades, deep learning, as part of machine learning, has undergone significant development. Many emerging techniques have achieved...
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https://www.usgs.gov/data/site-information-probability-differences-and-entropy-based-metrics-streamflow-information-usgs
These data sets have at-site values of probability differences and entropy-based metrics to compare the effects of streamflow resolution, monitoring period,...
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