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Multi-layered Discriminative Restricted Boltzmann Machine with Untrained Probabilistic Layer. (arXiv:2210.15434v1 [cs.LG])
Oct. 28, 2022, 1:11 a.m. | Yuri Kanno, Muneki Yasuda
cs.LG updates on arXiv.org arxiv.org
An extreme learning machine (ELM) is a three-layered feed-forward neural
network having untrained parameters, which are randomly determined before
training. Inspired by the idea of ELM, a probabilistic untrained layer called a
probabilistic-ELM (PELM) layer is proposed, and it is combined with a
discriminative restricted Boltzmann machine (DRBM), which is a probabilistic
three-layered neural network for solving classification problems. The proposed
model is obtained by stacking DRBM on the PELM layer. The resultant model
(i.e., multi-layered DRBM (MDRBM)) forms a …
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