The author also:- provides a well-founded practical introduction to Bayesian networks, decision trees and influence diagrams;- gives several examples and exercises exploiting the computer systems for Bayesian netowrks and influence diagrams;- gives practical advice on constructiong Bayesian networks and influence diagrams from domain knowledge;- embeds decision making into the framework of Bayesian networks;- presents in detail the currently most efficient algorithms for probability updating in Bayesian networks;- discusses a wide range of analyes tools and model requests together with algorithms for calculation of responses;- gives a detailed presentation of the currently most efficient algorithm for solving influence diagrams.
Be the first to review this book!