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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7031350/ https://www.ncbi.nlm.nih.gov/pubmed/32118039 http://dx.doi.org/10.3389/fmolb.2020.00013 |