Hyperseed: Unsupervised Learning With Vector Symbolic Architectures-Reference-Cited by-同舟云学术

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Hyperseed: Unsupervised Learning With Vector Symbolic Architectures

Published:2022 Issue: Volume: Page:1-15
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Osipov Evgeny¹^ORCID,Kahawala Sachin²,Haputhanthri Dilantha²,Kempitiya Thimal²^ORCID,Silva Daswin De²,Alahakoon Damminda²,Kleyko Denis³^ORCID

Affiliation:

1. Department of Computer Science, Electrical and Space Engineering, Luleå University of Technology, Luleå, Sweden

2. Centre for Data Analytics and Cognition (CDAC), La Trobe University, Melbourne, VIC, Australia

3. Redwood Center for Theoretical Neuroscience, University of California at Berkeley, Berkeley, CA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09953974.pdf?arnumber=9953974

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3. hdlib: A Python library for designing Vector-Symbolic Architectures;Journal of Open Source Software;2023-09-11

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