Statistical Pattern Classification
Ben Gold, Nelson H. Morgan, Dan P. W. Ellis · 2011
This chapter contains sections titled: Introduction A Few Definitions Class-Related Probability Functions Minimum Error Classification Likelihood-Based MAP Classification Approximating a Bayes Classifier Statistically Based Linear Discriminants Iterative Training: The EM Algorithm Exercises