Bayesian Localized Multiple Kernel Learning

author: C. Mario Christoudias, Linguistics and Philosophy, Massachusetts Institute of Technology, MIT
published: Jan. 19, 2010,   recorded: December 2009,   views: 190
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Description

Many problems in machine learning involve datasets that are comprised of multiple views. The separate views can be defined over a single input (e.g., multiple image feature types), or from multiple information sources (e.g., audio and video). In this context, each view can provide a redundant indication of the underlying class or event of interest, useful for classification.

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Download slides icon Download slides: nipsworkshops09_christoudias_blmk_01.pdf (938.0 KB)


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