Decreasing the Size of the Restricted Boltzmann Machine

Saito Yohei; Kato Takuya

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Decreasing the Size of the Restricted Boltzmann Machine

机译：减小受限玻尔兹曼机的尺寸

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摘要

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.

机译：在这封信中，我们提出一种减少受限玻尔兹曼机的隐藏单元数量的方法，同时避免因Kullback-Leibler发散而量化的性能下降。然后通过数值仿真证明了我们的算法。

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来源
《Neural computation》 |2019年第4期|784-805|共22页
作者
Saito Yohei; Kato Takuya;
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作者单位

Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 1538505, Japan;

Univ Tokyo, Grad Sch Informat Sci & Technol, Dept Math informat, Bunkyo Ku, Tokyo 1138654, Japan;

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收录信息美国《科学引文索引》(SCI);美国《化学文摘》(CA);
原文格式 PDF
正文语种 eng
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1. Decreasing the Size of the Restricted Boltzmann Machine [J] . Saito Yohei, Kato Takuya Neural computation . 2019,第4期

机译：减少受限制的Boltzmann机器的尺寸
2. Universal Approximation Results for the Temporal Restricted Boltzmann Machine and the Recurrent Temporal Restricted Boltzmann Machine [J] . Simon Odense, Roderick Edwards Journal of machine learning research . 2016,第158期

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3. A novel collaborative filtering algorithm of machine learning by integrating restricted Boltzmann machine and trust information [J] . Wu Xiaojun, Yuan Xiaojie, Duan Chunyan, Neural computing & applications . 2019,第9期

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机译：使用堆叠的半受限玻尔兹曼机转向基于受限玻尔兹曼机的认知体系的工作记忆实现
5. Efficient Machine Learning Inference for Embedded Systems with Integer Based Restricted Boltzmann Machines Classifiers [D] . Sosa Barillas, Bryan Samuel. 2019

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6. Study on Urban Heat Island Intensity Level Identification Based on an Improved Restricted Boltzmann Machine [O] . Yang Zhang, Ping Jiang, Hongyan Zhang, 2018

机译：基于改进约束玻尔兹曼机的城市热岛强度水平识别研究
7. Decreasing the Size of the Restricted Boltzmann Machine [O] . Yohei Saito, Takuya Kato 2019

机译：减少受限制的Boltzmann机器的尺寸

Decreasing the Size of the Restricted Boltzmann Machine

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