Description: Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to achieve the classification decision-making methods. The smallest error rate of Bayesian decision-making: According to the largest posterior probability of a thing as a classification based on the decision-making
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bayes\02第二章 贝叶斯决策理论(1).ppt
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