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Kernel Methods: the Emergence of a Well-founded Machine Learning

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If you have a question about this talk, please contact Stephen Clark.

We review the background and basis for an approach to machine learning known as kernel methods that has transformed the field over the last 20 years. After introducing the example of support vector machines, we consider kernel principal components analysis and extensions to two view learning.

This talk is part of the Computer Laboratory Wednesday Seminars series.

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