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A naive Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem with strong independence assumptions. A more descriptive term for the underlying probability model would be "independent feature model".

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How can I use KL-divergence to weight features?

Mutual Information is one approach, but an alternative is Variation of Information. As a quick start, you might want to track down the paper by Meila. Also, Vinh and Bailey provide a broader perspecti …
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