I am curious if anyone out there is researching alternative approaches to solving the kinds of problems addressed by contemporary deep learning architectures (e.g. deep belief networks, convolutional neural networks, ... etc). Most of the approaches I have read about seem to have the artificial neural network at their core. I am interested if there are totally different strategies that show promise.

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