- Press coverage of Accuracy Predicting Estrogen Receptor Status
and H. Khosravi,
The IMAP Hybrid Method for Learning Gaussian Bayes Nets"
Best Paper Prize
2010 Canadian Conference on Artificial Intelligence.
Annual Professorship, 2007.
- Fellow of
(Association for the Advancement of
Artificial Intelligence), 2007
- Faculty Research Award, UofA CS (March 2007)
(to AICML) for
"Outstanding Leadership in Technology",
Int'l Conf. on Machine Learning (ICML'06)
Learning Coordinate Classifiers"
"Distinguished Paper" award
Int'l Conf. on Machine Learning (ICML'04)
"Learning a Model of a Web User's Interests"
2003 James Chen Best
Student Paper Award at
- J.Cheng and R. Greiner,
"Learning Bayesian Belief Network Classifiers: Algorithms and System"
was RunnerUp for Best Paper,
Fourteenth Canadian Conference on Artificial Intelligence (CSCSI'01)
I am interested in building algorithms that learn from experience, to be able to
perform their tasks better.
Some of my work has
These systems have been successfully used to address
a number of real-world challenges.
- an application pull
-- i.e., is motivated by very specific tasks;
a technology push -- typically extending standard learning algorithms and analyses, to produce more robust and more effective learning systems
Thought for the day:
First things first; second things never.
I plan to update this daily... but that is not the highest