In this talk, I will examine the learning methods for machine classification with a focus on support vector machines and multi-layer feed forward neural network models. I will present a theory that defines a supervised objective for layered training of deep architectures and a classification algorithm based on the new theory. Results from a range of different classification problems will be discussed.
Last modified: Tuesday, 03-May-2011 17:19:38 NZST
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