Cargando…
An Efficient, Parallelized Algorithm for Optimal Conditional Entropy-Based Feature Selection
In Machine Learning, feature selection is an important step in classifier design. It consists of finding a subset of features that is optimum for a given cost function. One possibility to solve feature selection is to organize all possible feature subsets into a Boolean lattice and to exploit the fa...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516975/ https://www.ncbi.nlm.nih.gov/pubmed/33286261 http://dx.doi.org/10.3390/e22040492 |