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article · 2016

Fast classifier learning under bounded computational resources using Partitioned Restricted Boltzmann Machines

We develop a Partitioned Restricted Boltzmann Machine (PRBM) for classification. We demonstrate that this method provides both speed and accuracy. Specifical...

0 citationsDOI: https://doi.org/10.1109/ijcnn.2016.7727565
Fast classifier learning under bounded computational resources using Partitioned Restricted Boltzmann Machines