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Journal Article
Research Support, Non-U.S. Gov't
Decreasing the Size of the Restricted Boltzmann Machine.
Neural Computation 2019 April
In this letter, we propose a method to decrease the number of hidden units of the restricted Boltzmann machine while avoiding a decrease in the performance quantified by the Kullback-Leibler divergence. Our algorithm is then demonstrated by numerical simulations.
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