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Analysis of Information-Based Nonparametric Variable Selection Criteria
We consider a nonparametric Generative Tree Model and discuss a problem of selecting active predictors for the response in such scenario. We investigated two popular information-based selection criteria: Conditional Infomax Feature Extraction (CIFE) and Joint Mutual information (JMI), which are both...
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| Publicado no: | Entropy (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7597280/ https://ncbi.nlm.nih.gov/pubmed/33286743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e22090974 |
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