Bayes- and Maximum Likelihood Classifiers

The Bayes strategy C376, 389, 396, 4033 is a method for making optimum decisions. For simplicity, the method is described for a binary classification but it may also be used for mu Iticategory problems. 

Let X be the pattern vectors. Each pattern vector defines a point 

The following definitions are necessary for a description of a Bayes c lassi fi er.  

L(1) loss associated with mi sc lassification a member of class 1 

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Bayes- and Maximum Likelihood Classifiers for Binary Encoded Patterns... 

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