======================================================================= NIPS2010 Workshop
Tensors, Kernels, and Machine Learning Friday December 10th, Whistler, BC http://csmr.ca.sandia.gov/~dfgleic/tkml2010 ----------------------------------------------------------------------- Submission deadline: September 30th, 2010 Notification deadline: October 11th, 2010 ----------------------------------------------------------------------- Tensors are a generalization of vectors and matrices to high dimensions. The goal of this workshop is to explore the links between tensors, kernel methods, and machine learning. We expect that many problems in, for example, machine learning and kernel methods can benefit from being expressing as tensor problems; conversely, the tensor community may learn from the estimation techniques commonly used in information processing and from some of the kernel extensions to nonlinear models. Moreover, some of the techniques in kernel methods might enable kernel based multi-linear models of tensors. This workshop is appropriate for anyone who wishes to learn more about tensor methods and/or share their machine learning or kernel techniques with the tensor community; conversely, we invite contributions from tensor experts seeking to use tensors for problems in machine learning and information processing. Please see http://csmr.ca.sandia.gov/~dfgleic/tkml2010 for more information about submissions. ORGANIZERS Andreas Argyriou (Toyota Institute of Technology), David F. Gleich (Sandia), Tamara G. Kolda (Sandia), Vicente Malave (UC San Diego), Marco Signoretto (KU Leuven), Johan Suykens (KU Leuven) ======================================================================= _______________________________________________ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
