Oliver Shulte wins Best Paper Award at AI conference

June 02, 2010
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A paper authored by a SFU Computing Science faculty member, Oliver Schulte, won the best paper award at the 2010 Canadian Conference on Artificial Intelligence Conference.

The paper, entitled “A Hybrid Method for Learning Gaussian Bayes Nets,” was co-written by Shulte, Russell Greiner, a researcher at the University of Alberta, and two of Shulte’s graduate students, Gustavo Frigo and Hassan Khosravi.

Schulte explains, “Bayes nets are statistical modeling technique that allows the user to find patterns in data and to use graphical methods to exploit this knowledge in decision making.”

The 23rd annual Canadian Conference on Artificial Intelligence, which is main AI conference in Canada, took place at the University of Ottawa, from May 31-June 2, 2010.