L3 - EE7750 Lecture3: Return to the fish example There are...

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EE7750 MACHINE RECOGNITION OF PATTERNS Lecture 3: Bayesian Decision Theory
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Bayesian Decision Theory Return to the fish example. There are two categories. Denote these categories as w 1 for sea bass and w 2 for salmon. Assume that there is some prior probability (or simply prior ) P(w 1 ) that the next fish is sea bass, and some prior probability that P(w 2 ) that it is salmon. Suppose that we make a decision without making a measurement. The logical decision rule is Decide w 1 if P(w 1 ) > P(w 2 ); otherwise decide w 2
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