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Mini Symposium
Algebraic methods in machine learning
Risi Kondor · Guy Lebanon · Jason R Morton

Thu Dec 11 01:30 PM -- 04:30 PM (PST) @ None
Event URL: http://www.gatsby.ucl.ac.uk/~risi/AML08/ »

There has recently been a surge of interest in algebraic methods in machine learning. This includes new approaches to ranking problems, the budding field of algebraic statistics and various applications of non-commutative Fourier transforms. The aim of the workshop is to bring together these distinct communities, explore connections, and showcase algebraic methods to the machine learning community at large. The symposium is intended to be accessible to researchers with no prior exposure to abstract algebra. The program includes three short tutorials that will cover the basic concepts necessary for understanding cutting edge research in the field.

Author Information

Risi Kondor (The University of Chicago)
Guy Lebanon (Amazon)
Jason R Morton (Penn State)

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