STATISTICAL LEARNING IN MACHINE INTELLIGENCE AND PATTERN RECOGNITION
Tian Wang · 2002
In this paper, the general theory of statistical learning methods and graphical model in machine intelligence and pattern recognition are discussed. We specially depict the inference process and learning algorithm of graphical model, and the general steps of application of statistical learning methods to solve problems. In the last, we give an example of dynamical Bayesian networks for time series data analysis.