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maximum a posteriori


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1 کامپیوتر و شبکه:: بیشینه پسین

-is called the maximum a posteriori rule (MAP rule). Because this quantity doesn't change based on the class, you can drop it out of the MAP comparison, meaning you care only about which of these two values is larger: That's because the MAP rule doesn't really care that you calculated your class probabilities correctly; it just cares about which incorrectly calculated probability is larger. The comparisons used in the MAP rule tend to come out in the same direction they would have had you applied all sorts of fancier linguistic understanding to the model. But if you assume both p(app) and p(other) are 50 percent, then when comparing the two values using the MAP decision rule, you might as well just drop them out.

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