A "non-parametric" version of the naive Bayes classifier
Many algorithms have been proposed for the machine learning task of classication. One of the simplest methods, the naive Bayes classifyer, has often been found to give good performance despite the fact that its underlying assumptions (of independence and a Normal distribution of the variables) are p...
| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Elsevier
2011
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| Online Access: | https://eprints.nottingham.ac.uk/28135/ |