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In this Plenary paper the most important scientific challenge of knowledge learning is reviewed thought two different approaches: Deep Learning (DL) and Wise Learning (WL).
Recently, deep neural networks have been widely used in many applications with successful results. Each layer of multilayer neural networks can be viewed as non-linear dimension expansion and the final layer can be viewed as linear classification. It is observed that adding more layers doesn't always improve the classification performance in some cases. In this paper, we analyze the discriminant powers...
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