Short Bio
-
O Schulte,
G. Frigo,
R. Greiner,
and H. Khosravi,
"
The IMAP Hybrid Method for Learning Gaussian Bayes Nets"
won the
Best Paper Prize
at the
2010 Canadian Conference on Artificial Intelligence.
-
Killam
Annual Professorship, 2007.
- Fellow of
AAAI
(Association for the Advancement of
Artificial Intelligence), 2007
- Faculty Research Award, UofA CS (March 2007)
-
ASTech Award
(to AICML) for
"Outstanding Leadership in Technology",
Oct 2006
McCalla
Professorship,
2005-06
-
Conference Chair,
Int'l Conf. on Machine Learning (ICML'06)
Pittsburgh
-
Y Guo,
R. Greiner,
D Schuurmans;
"
Learning Coordinate Classifiers"
won a
"Distinguished Paper" award
at
IJCAI'2005.
-
Program Co-Chair,
Int'l Conf. on Machine Learning (ICML'04)
Banff, Alberta
-
T Zhu,
R. Greiner,
G Haeubl;
"Learning a Model of a Web User's Interests"
won the
2003 James Chen Best
Student Paper Award at
UM'2003.
- 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
- 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
These systems have been successfully used to address
a number of real-world challenges.
See
Earlier Visits
Thought for the day:
First things first; second things never.
I plan to update this daily... but that is not the highest
priority.
|
