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Display All
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Dr. Russ Greiner
(b. ----,
d. ----)
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( Prev | Next )
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POSITION(S) / JOB TITLE(S):
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Professor |
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I am interested in building algorithms that learn from experience, to be able to perform their tasks better. Many of my research results extend standard learning algorithms and analyses to produce more robust and more effective learning systems. These include learning techniques that make efficient use of the training sample (e.g. by observing training samples sequentially rather than in batch, or by using a partially specified sample); by learning optimal active classifiers and by exploiting known domain and other relevant information, such as how the learned system will later be used. These learning systems have been successfully used to address a variety of real-world challenges, such as improving the accuracy of complicated reasoning systems, and allowing a robot system to navigate effectively using a reduced number of landmarks. I am currently applying these ideas to improving software systems in general, and to learning probabilistic structures, such as (Bayesian) belief nets, for applications that include diagnosis and decision support systems. |
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Professor |
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Computing Science |
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University of Alberta |
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Only Visible to Members of getCITED
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Doctorate
(1985)
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Stanford University
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Male / English
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Unknown |
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1107-2044
(Last changed on
2003/04/27 19:22:36)
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