PrxCa1−xMnO3 based stochastic neuron for Boltzmann machine to solve “maximum cut” problem

APL Materials ◽

10.1063/1.5108694 ◽

2019 ◽

Vol 7 (9) ◽

pp. 091112 ◽

Author(s):

Devesh Khilwani ◽

Vineet Moghe ◽

Sandip Lashkare ◽

Vivek Saraswat ◽

Pankaj Kumbhare ◽

...

Keyword(s):

Boltzmann Machine ◽

Maximum Cut ◽

Stochastic Neuron

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Voltage-Controlled Spintronic Stochastic Neuron for Restricted Boltzmann Machine With Weight Sparsity

IEEE Electron Device Letters ◽

10.1109/led.2020.2995874 ◽

2020 ◽

Vol 41 (7) ◽

pp. 1102-1105

Author(s):

Jiefang Deng ◽

Venkata Pavan Kumar Miriyala ◽

Zhifeng Zhu ◽

Xuanyao Fong ◽

Gengchiau Liang

Keyword(s):

Restricted Boltzmann Machine ◽

Boltzmann Machine ◽

Stochastic Neuron

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Generative Acoustic-Phonemic-Speaker Model Based on Three-Way Restricted Boltzmann Machine

10.21437/interspeech.2016-1105 ◽

2016 ◽

Author(s):

Toru Nakashika ◽

Yasuhiro Minami

Keyword(s):

Restricted Boltzmann Machine ◽

Boltzmann Machine ◽

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A New Method to Enhance Fingerprint Image Reconstruction Using Deep Boltzmann Machine

International Journal of Intelligent Engineering and Systems ◽

10.22266/ijies2020.0229.11 ◽

2020 ◽

Vol 13 (1) ◽

pp. 113-123

Author(s):

Nouf Alotaibi ◽

Keyword(s):

Image Reconstruction ◽

Boltzmann Machine ◽

Fingerprint Image ◽

Deep Boltzmann Machine

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Multiscale Stochastic Neuron Modeling - With Applications In Deep Brain Stimulation (WIP)

Summer Computer Simulation Conference (SCSC) ◽

10.22360/summersim.2017.scsc.038 ◽

2017 ◽

Keyword(s):

Deep Brain Stimulation ◽

Brain Stimulation ◽

Stochastic Neuron ◽

Neuron Modeling ◽

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A Novel Deep Learning Model by Stacking Conditional Restricted Boltzmann Machine and Deep Neural Network

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining ◽

10.1145/3394486.3403184 ◽

2020 ◽

Author(s):

Tianyu Kang ◽

Ping Chen ◽

John Quackenbush ◽

Wei Ding

Keyword(s):

Neural Network ◽

Deep Learning ◽

Deep Neural Network ◽

Learning Model ◽

Restricted Boltzmann Machine ◽

Boltzmann Machine ◽

Deep Learning Model

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Probability Boltzmann Machine Network for Face Detection on Video

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) ◽

10.1109/cisp-bmei51763.2020.9263555 ◽

2020 ◽

Author(s):

Xueyi YE ◽

Bisheng JI ◽

Xueting CHEN ◽

Dingwei QIAN ◽

Zhijing ZHAO

Keyword(s):

Face Detection ◽

Boltzmann Machine

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Integration of Deep Boltzmann Machine and Generalized Radial Basis Function Network for Photovoltaic Generation Output Forecasting

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.998 ◽

2020 ◽

Vol 53 (2) ◽

pp. 12163-12168

Author(s):

Shota Ogawa ◽

Hiroyuki Mori

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Network ◽

Boltzmann Machine ◽

Photovoltaic Generation ◽

Deep Boltzmann Machine ◽

Radial Basis ◽

Function Network

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An Energy-efficient Multi-core Restricted Boltzmann Machine Processor with On-chip Bio-plausible Learning and Reconfigurable Sparsity

2020 IEEE Asian Solid-State Circuits Conference (A-SSCC) ◽

10.1109/a-sscc48613.2020.9336135 ◽

2020 ◽

Author(s):

Jiajun Wu ◽

Xuan Huang ◽

Le Yang ◽

Liang Wang ◽

Jipeng Wang ◽

...

Keyword(s):

Energy Efficient ◽

Restricted Boltzmann Machine ◽

Boltzmann Machine ◽

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Group theory on quantum Boltzmann machine

Physics Letters A ◽

10.1016/j.physleta.2021.127298 ◽

2021 ◽

Vol 399 ◽

pp. 127298

Author(s):

Hai-Jing Song ◽

D.L. Zhou

Keyword(s):

Group Theory ◽

Boltzmann Machine

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A parallel implementation of Boltzmann machine solving combinatorial optimization problems

Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan) ◽

10.1109/ijcnn.1993.714362 ◽

2005 ◽

Author(s):

J. Nang ◽

K. Matsuo

Keyword(s):

Combinatorial Optimization ◽

Optimization Problems ◽

Parallel Implementation ◽

Boltzmann Machine ◽

Combinatorial Optimization Problems

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