Non-parametric Bayesian Learning with Deep Learning Structure and Its Applications in Wireless Networks

16 Oct 2014 Erte Pan Zhu Han

In this paper, we present an infinite hierarchical non-parametric Bayesian model to extract the hidden factors over observed data, where the number of hidden factors for each layer is unknown and can be potentially infinite. Moreover, the number of layers can also be infinite... (read more)

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