Risi Kondor, Guy Lebanon, Jason Morton

Caltech; Georgia Tech; Penn State

Algebraic methods in machine learning

1:30 - 4:30pm Thursday, December 11, 2008

This is part of the Mini Symposia which begins at 13:30 on Thursday December 11, 2008

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.

http://www.gatsby.ucl.ac.uk/~risi/AML08/