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Robustification of Naïve Bayes Classifier and Its Application for Microarray Gene Expression Data Analysis
The naïve Bayes classifier (NBC) is one of the most popular classifiers for class prediction or pattern recognition from microarray gene expression data (MGED). However, it is very much sensitive to outliers with the classical estimates of the location and scale parameters. It is one of the most imp...
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| Izdano u: | Biomed Res Int |
|---|---|
| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Hindawi
2017
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5564130/ https://ncbi.nlm.nih.gov/pubmed/28848763 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/3020627 |
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