Probabilistic reasoning: continuos variables and Bayes rules

Abstract

The training objectives of this learning object are: 1) To represent knowledge with continuous variables; 2) To infer knowledge from continuous variables and the Bayes theorem; and 3) To apply the Bayes rule in general and, in particular, in the case of pattern recognition and machine learning.