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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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| Publicado no: | Front Mol Biosci |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acesso em linha: | 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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