Programming Bayesian Network Solutions with Netica
Provides an introduction to programming Bayesian Networks in Java with Netica. Assumes minimal programming experience and a basic understanding of BNs.
Bayesian Artificial Intelligence
Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian networks, the authors discuss the use of Bayesian networks for causal modeling. They also draw on their own applied research to illustrate various applications of the technology.
Published by CRC Press
October 15th, 2009: Inaugural Meeting of the Australasian Bayesian Network Modelling Society
K.B. Korb Bayesian AI: Introduction. Presented on behalf of the IEEE Computational Intelligence Society and the IEEE Computer Society at Monash Caulfield, 1 Oct, 2009.
K.B. Korb and L. Brumley (2015). The Evolution of Utility, Or Why Is Sex Fun?. Technical Report 2015/1, Bayesian Intelligence.
S. Mascaro, K.B. Korb and A. Nicholson (2010). Learning Abnormal Vessel Behaviour from AIS Data with Bayesian Networks at Two Time Scales. Technical Report 2010/4, Bayesian Intelligence.
A. Nicholson, O. Woodberry and C. Twardy (2010). The "Native Fish" Bayesian networks. Technical Report 2010/3, Bayesian Intelligence. (BNs for this report.)
K.B. Korb and A. Dorin. (2010) Evolution and the Arrow of Complexity. TR 2010/2.
S.A. Zonneveldt, K.B. Korb and A.E. Nicholson (2010). Bayesian network classifiers for the German credit data. Technical Report 2010/1, Bayesian Intelligence.
K.B. Korb and A. Dorin (2009). A simulation of niche construction. Technical Report 2009/2, Bayesian Intelligence.
Y. Wen, K.B. Korb and A.E. Nicholson (2009). DataZapper: A Tool for Generating Incomplete Datasets. Technical Report 2009/1, Bayesian Intelligence.