no code implementations • 8 May 2023 • Babette Dellen, Uwe Jaekel, Paulo S. A. Freitas, John W. Clark
Accurate estimation of nuclear masses and their prediction beyond the experimentally explored domains of the nuclear landscape are crucial to an understanding of the fundamental origin of nuclear properties and to many applications of nuclear science, most notably in quantifying the $r$-process of stellar nucleosynthesis.
no code implementations • 15 Dec 2019 • Aditya Cowsik, John W. Clark
The present machine-learning approach to diagnosis (known as HOPP, for higher-order probabilistic perceptron) is tested on the much-studied, open-access Breast Cancer Wisconsin (Diagnosis) Data Set of Wolberg et al.