Predicting the Underlying Structure for Phylogenetic Trees Using Neural Networks and Logistic Regression

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"Predicting the Underlying Structure for Phylogenetic Trees Using Neural Networks and Logistic Regression"
written by Hassan W. Kayondo, Samuel Mwalili,
published by Open Journal of Statistics, Vol.10 No.2, 2020

has been cited by the following article(s):

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[1]	Inferring the lifestyles of extinct Crocodyliformes using osteoderm ornamentation The Science of Nature, 2023 DOI:10.1007/s00114-023-01871-8

[2]	Design of English Learning Resource Query System Based on GLR Algorithm 2023 International Conference on Data Science and Network Security (ICDSNS), 2023 DOI:10.1109/ICDSNS58469.2023.10244790

[3]	Inferring the lifestyles of extinct Crocodyliformes using osteoderm ornamentation The Science of Nature, 2023 DOI:10.1007/s00114-023-01871-8

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