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ISSN
0899-7667
E-ISSN
1530-888X
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2.21

Neural Computation

April 2019, Vol. 31, No. 4, Pages 784-805
(doi: 10.1162/neco_a_01176)
© 2019 Massachusetts Institute of Technology
Decreasing the Size of the Restricted Boltzmann Machine
Article PDF (1002.84 KB)
Abstract
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.