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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Bibliografiske detaljer
Udgivet i:Front Mol Biosci
Main Authors: Medina-Ortiz, David, Contreras, Sebastián, Quiroz, Cristofer, Olivera-Nappa, Álvaro
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Molecular Biosciences
Online adgang: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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