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Autor:
Shuhan He, Paul Chong, Byung-Jun Yoon, Pei-Hung Chung, David Chen, Sammer Marzouk, Kameron C. Black, Wilson Sharp, Pedram Safari, Joshua N. Goldstein, Ali S. Raja, Jarone Lee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Shannon entropy is a core concept in machine learning and information theory, particularly in decision tree modeling. To date, no studies have extensively and quantitatively applied Shannon entropy in a systematic way to quantify the entropy
Externí odkaz:
https://doaj.org/article/0f4d4087776b4c5097f73f74fd9242b7