If only priori probabilities of each class (that is, P(w;)) are known, what is the Bayes' dicision rule for minimum error?

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
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Chapter1: Combinatorial Analysis
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Two questions about Bayes' decision rule

About first one, am I right?

The second one is the short answer

1
Which of the following options are correct under Bayes' decision rule for minimum error?
A When P(x|w1) = P(x|w2), if P(w1) > P(w2), then x E w1; otherwise, x E w2.
B When P(x|w1) = P(x|w2), if P(w1) > P(w2), then x € w2; otherwise, x € w1.
C When P(w1) = P(w2), if P(x|w1) > P(w2), then x € w2; otherwise, x € w1.
D When P(w1) = P(w2), if P(x|w1) > P(w2), then x E w1; otherwise, x € w2.
Transcribed Image Text:1 Which of the following options are correct under Bayes' decision rule for minimum error? A When P(x|w1) = P(x|w2), if P(w1) > P(w2), then x E w1; otherwise, x E w2. B When P(x|w1) = P(x|w2), if P(w1) > P(w2), then x € w2; otherwise, x € w1. C When P(w1) = P(w2), if P(x|w1) > P(w2), then x € w2; otherwise, x € w1. D When P(w1) = P(w2), if P(x|w1) > P(w2), then x E w1; otherwise, x € w2.
1
If only priori probabilities of each class (that is, P(wi)) are known, what is the Bayes' dicision rule for minimum error?
Transcribed Image Text:1 If only priori probabilities of each class (that is, P(wi)) are known, what is the Bayes' dicision rule for minimum error?
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