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Lech Szymanski - Department of Computer Science


Deep architectures and classification by intermediary transformations


Archway 2 - 1:00 pm, Friday 6 May


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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