Elastic Sample Filter: An FPGA-based Accelerator for Bayesian Network Structure Learning-Reference-Cited by-同舟云学术

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Elastic Sample Filter: An FPGA-based Accelerator for Bayesian Network Structure Learning

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Field-Programmable Technology (ICFPT)
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Author:

Miyagi Ryota¹,Yasudo Ryota¹,Sano Kentaro²,Takase Hideki³

Affiliation:

1. Kyoto University,Kyoto,Japan

2. RIKEN,Kobe,Japan

3. The University of Tokyo,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973804/9974184/09974196.pdf?arnumber=9974196

Reference3 articles.

1. Learning Bayesian Networks with thebnlearnRPackage

2. Large-sample learning of Bayesian networks is NP-hard;chickering;Journal of Machine Learning Research,2004

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ph.D. Project: Field-Programmable Computing for Bayesian Network Structure Learning;2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM);2024-05-05

2. Performance Modeling and Scalability Analysis of Stream Computing in ESSPER FPGA Clusters;2023 International Conference on Field Programmable Technology (ICFPT);2023-12-12

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