Gradient boosted trees trained on nuclear data predict level density parameters for superheavy elements with reported standard deviations from 0.00035 to 0.73.
Application of support vector machines to global prediction of nuclear properties
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Trees and Islands -- Machine learning approach to nuclear physics
Gradient boosted trees trained on nuclear data predict level density parameters for superheavy elements with reported standard deviations from 0.00035 to 0.73.