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Revision as of 19:14, 12 April 2009
Courses
Computational Geometry (spring 2007)
Algorithms (fall 2007)
Complexity (whenever)
Randomization (fall 2008)
The History and Ramifications of Computing
Seminars
- AFLB
- Algorithms Seminar (administered by Suresh)
- Spring 2009: Clustering
- Fall 2008: Randomization
- Spring 2008: The Geometry of Information Spaces
- Fall 2007: Approximate High Dimensional Data Analysis
- Machine Learning Reading Group (administered by Hal Daume)
- Fall 2008 : Inference in Graphical Models
- Summer 2008: Multitask learning
- Spring 2008: Kernel Methods
- Fall 2007: Unsupervised Bayesian methods
- Summer 2007: Manifold Learning
This wiki is maintained by Suresh Venkatasubramanian.
