This course handles underlying background theories for pattern recognition (PR) which is the start point for AI. It covers PR systems, Bayesian Classifier, likelihood-based PR, Discriminant Function-based PR, Support Vector Machine, NN-based PR, and other PR theories such as fuzzy theory, and so on.
