About Bayesian Intelligence

Overview

Bayesian networks are flexible and intuitive graphical models of systems of variables having unknown and uncertain interrelations. They efficiently perform probabilistic inference given observations --- for example, rapidly updating the probability of a disease given the outcome of a diagnostic test. (See Wikipedia for more general information.)

Bayesian Intelligence provides a range of consulting services relating to development, learning and training for BNs. See our services page for more.

People

• Dr. Owen Woodberry is a Director and Senior Consultant at Bayesian Intelligence. He has worked in Bayesian networks since 2003, when he completed an honours project on developing a model of native fish populations in the Goulburn Broken Catchment, Victoria. He specializes in ecological models, knowledge engineering BNs, teaching and support tool development.
  
  Email: owen.woodberry (at) bayesian-intelligence.com
• Dr. Steven Mascaro is a Director and Senior Consultant at Bayesian Intelligence. He began working with BNs in 2006, contributing to the development of Monash University's BN-based poker playing bot. He specializes in machine learning BNs, data mining, computer simulation and BN automation tools. He also has extensive experience with web application development.
  
  Email: steven.mascaro (at) bayesian-intelligence (dot) com
  Prof. Ann E. Nicholson cofounded Bayesian Intelligence with Dr. Kevin Korb in 2007. She is a professor at Monash University who specializes in Bayesian network modelling. She is an expert in dynamic Bayesian networks (BNs), planning under uncertainty, user modelling, Bayesian inference methods and knowledge engineering BNs.
  Dr. Kevin B. Korb, recently retired, cofounded Bayesian Intelligence with Prof. Ann Nicholson in 2007. He continues to engage in research on the theory and practice of causal discovery of Bayesian networks (aka data mining with BNs), machine learning, evaluation theory, the philosophy of scientific method and informal logic.
  Kevin Korb and Ann Nicholson are co-authors of a textbook Bayesian Artificial Intelligence (Chapman Hall / CRC Press, 2010). This book was chosen as an Outstanding Academic Title by Choice Magazine, a publication of the American Library Association, where selection is made based on "excellence in scholarship and presentation, the significance of their contribution to the field, and their value as important — often the first — treatment of their subject.'' Favourable reviews of this text have appeared in 5 international journals, including the Journal of the Royal Statistical Society A, 167(3), 572. Korb and Nicholson have developed and presented tutorials and short-courses on BN technology at conferences and to industry since 1999.

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