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Development of Supervised Learning Predictive Models for Highly Non-linear Biological, Biomedical, and General Datasets

In highly non-linear datasets, attributes or features do not allow readily finding visual patterns for identifying common underlying behaviors. Therefore, it is not possible to achieve classification or regression using linear or mildly non-linear hyperspace partition functions. Hence, supervised le...

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Bibliografski detalji
Izdano u:Front Mol Biosci
Glavni autori: Medina-Ortiz, David, Contreras, Sebastián, Quiroz, Cristofer, Olivera-Nappa, Álvaro
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7031350/
https://ncbi.nlm.nih.gov/pubmed/32118039
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fmolb.2020.00013
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