Implementation of Bayesian networks and Bayesian inference using a Cu0.1Te0.9/HfO2/Pt threshold switching memristor

Author:

Baek In Kyung1ORCID,Lee Soo Hyung1ORCID,Jang Yoon Ho1ORCID,Park Hyungjun1ORCID,Kim Jaehyun1ORCID,Cheong Sunwoo1ORCID,Shim Sung Keun1ORCID,Han Janguk1ORCID,Han Joon-Kyu2ORCID,Jeon Gwang Sik1ORCID,Shin Dong Hoon1ORCID,Woo Kyung Seok1ORCID,Hwang Cheol Seong1ORCID

Affiliation:

1. Department of Materials Science and Engineering, and Inter-University Semiconductor Research Center, Seoul National University, Seoul, 08826, Republic of Korea

2. System Semiconductor Engineering and Department of Electronic Engineering, Sogang University, 35 Baekbeom-ro, Mapo-gu, Seoul 04107, Republic of Korea

Abstract

Implementation of Bayesian networks and Bayesian inference using a Cu0.1Te0.9/HfO2/Pt threshold switching memristor.

Funder

National Research Foundation of Korea

Publisher

Royal Society of Chemistry (RSC)

Reference44 articles.

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3. V. X. C.Del Rosario , V. J.Narca , F. T. J.Laconsay and C. J.Alliac , in Proceedings – 2021 1st International Conference in Information and Computing Research, iCORE 2021 , 2021

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5. Inferring Gene Regulatory Networks from a Population of Yeast Segregants

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