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Home/ Questions/Q 9237095
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Editorial Team
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Editorial Team
Asked: June 18, 20262026-06-18T07:27:25+00:00 2026-06-18T07:27:25+00:00

When we are trying to maximum a posterior,we apply Bayesian rule to convert them

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When we are trying to maximum a posterior,we apply Bayesian rule to convert them into posterior probabilities!
This is most of the textbooks typically claimed

how can i be sure that it is really the case?

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  1. Editorial Team
    Editorial Team
    2026-06-18T07:27:27+00:00Added an answer on June 18, 2026 at 7:27 am

    In these cases you are doing

    argmax_{c_i} p(C=c_i|X=x)
    

    which is the most probable class given evidence. Since the x is fixed in this case (the data you are trying to find the best class for) so is P(X=x), it’s the probability for the data.

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