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Investigating the Utility of Oblique Tree-Based Ensembles for the Classification of Hyperspectral Data
Ensemble classifiers are being widely used for the classification of spectroscopic data. In this regard, the random forest (RF) ensemble has been successfully applied in an array of applications, and has proven to be robust in handling high dimensional data. More recently, several variants of the tr...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2016
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134577/ https://www.ncbi.nlm.nih.gov/pubmed/27854290 http://dx.doi.org/10.3390/s16111918 |