Cha Li
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Theoretical Properties of Contrastive Divergence with Restricted Boltzmann Machines
In this paper I discuss Contrastive Divergence.
Graph-based (graphical) models are popular methods used in machine learning for visualizing and representing high-dimensional datasets. One of the main problems, however, is estimating the parameters of the graphical model.
Team
PhD Student
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