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Welcome to the webpage for Prof. Alexander Ihler's Statistical Learning and Inference group at UCI.

We are interested in using probabilistic models to represent and understand real-world phenomena, using approximation algorithms to estimate probabilistic quantities efficiently, and learning probabilistic models from data. We focus primarily on algorithms for learning and estimation in graphical models, with applications to sensor networks, data mining, image processing and computer vision, and computational biology.


 
Group
Group Members
      Research
Research Areas
      Teaching
Teaching and Classes
 
Pubs
Publications
      Code
Open-Source Code

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Last modified July 06, 2010, at 10:17 PM
Bren School of Information and Computer Science
University of California, Irvine