AI RESEARCH
Reformulation of RBM to Unify Linear and Nonlinear Dimensionality Reduction
arXiv CS.LG
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ArXi:1909.08210v4 Announce Type: replace A restricted Boltzmann machine (RBM) is a two-layer neural network with shared weights and has been extensively studied for dimensionality reduction, data representation and recommendation systems in the literature. The traditional RBM requires a probabilistic interpretation of the values on both layers and a Marko chain Monte Carlo (MCMC) procedure to generate samples during the