Sorry, everyone! It's not 13 July but "18 July"! On Mon, Jul 14, 2014 at 1:50 PM, Kyung Hyun Cho <cho.k.hyun@gmail.com> wrote:

Dear all,

This Friday at 13.00, Dustin will give a tea talk about building a deep/multilayer kernel based on the paper <Kernel Methods for Deep Learning> by Youngmin Cho and Lawrence K. Saul presented earlier at NIPS 2009.

Note that the place is not the usual lecture hall in the same building, but is Z-209 in the neighbouring building (Pavillon Claire-McNicoll).

Hope to see many of you on Friday! - Cho

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- Speaker: Dustin Webb (University of Utah) - Date and Time: 13 July 2014 @13.00 - Place: Z-209 - Abstract:

We introduce a new family of positive-definite kernel functions that mimic the computation in large, multilayer neural nets. These kernel functions can be used in shallow architectures, such as support vector machines (SVMs), or in deep kernel-based architectures that we call multilayer kernel machines (MKMs). We evaluate SVMs and MKMs with these kernel functions on problems designed to illustrate the advantages of deep architectures. On several problems, we obtain better results than previous, leading benchmarks from both SVMs with Gaussian kernels as well as deep belief nets.

http://cseweb.ucsd.edu/~saul/papers/nips09_kernel.pdf