Unsupervised learning of distributions on binary vectors using two layer networks.
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- We present a distribution model for binary vectors, called the influence combination model and show how this model can be used as the basis for unsupervised learning algorithms for feature se- lection. ... We show that arbitrary distributions of binary vectors can be approximated by the combination model.
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