CALL FOR PRESENTATIONS Algebraic Methods in Machine Learning NIPS 08 Symposium and Workshop December 11-12, Vancouver and Whistler, BC URL: http://www.gatsby.ucl.ac.uk/~risi/AML08/
There has recently been a surge of interest in algebraic methods in machine learning. In no particular order, 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 symposium and workshop is to bring together these distinct communities, explore connections, and showcase algebraic methods to the machine learning community at large. We invite submissions for oral and poster presentations on algebraic methods in machine learning. Submissions should consist of a 1-2 page abstract and should be emailed to [EMAIL PROTECTED] in pdf or ps format by 10/24/2008. Acceptance/rejection notices will be emailed by November 3 Following the symposium and workshop, we intend to invite the workshop participants to submit longer documents for inclusion as chapters in an edited book on algebraic methods in machine learning. Organizers: Risi Kondor Gatsby Computational Neuroscience Unit University College London Guy Lebanon College of Computing Georgia Institute of Technology Jason Morton Department of Mathematics Stanford University
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