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NL Seminar- Tomer Levinboim: "MKL and Low Rank
Fri, Aug 30, 2013 @ 03:00 PM - 04:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Tomer Levinboim, USC/ISI
Talk Title: "MKL and Low Rank Multiplicative Shaping
Series: Natural Language Seminar
Abstract: Multiple Kernel Learning (MKL) has been a subject of intensive research over the past decade. Instead of searching for a good kernel function (implicitly, feature transformation of our data), the idea is to learn a combination of kernels that optimizes our objective. This formulation has found usage in feature selection and interpretability as well as (sometimes) leading to increased classification accuracy. In the talk, I will provide an introduction to MKL as well as present and compare a few MKL formulations for SVM classification. Given time, I will present our own non-linear (yet still convex) MKL formulation that linearly combines kernels that are first multiplied by low-rank matrices.
Biography: Home Page:
http://www-scf.usc.edu/~levinboi/
Host: Yang Gao
More Info: http://nlg.isi.edu/nl-seminar/
Location: 11th Flr Conf Rm # 1135, Marina Del Rey
Audiences: Everyone Is Invited
Contact: Peter Zamar
Event Link: http://nlg.isi.edu/nl-seminar/
