GDS: Gradient Descent Generation of Symbolic Classification Rules
–Neural Information Processing Systems
Given such a classification task in most cases it is not too difficult to devise a network architecture that is capable of learning the input-output relation as represented by a number of training examples.
Neural Information Processing Systems
Dec-31-1994
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