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Symbolic Representation and Learning With Hyperdimensional Computing
It has been proposed that machine learning techniques can benefit from symbolic representations and reasoning systems. We describe a method in which the two can be combined in a natural and direct way by use of hyperdimensional vectors and hyperdimensional computing. By using hashing neural networks...
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| Publié dans: | Front Robot AI |
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| Auteurs principaux: | , , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Frontiers Media S.A.
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7805681/ https://ncbi.nlm.nih.gov/pubmed/33501231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frobt.2020.00063 |
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