Data reduction through optimized scalar quantization for more compact neural networks
Raw data generation for several existing and planned large physics experiments now exceeds TB/s rates, generating untenable data sets in very little time. Those data often demonstrate high dimensionality while containing limited information. Meanwhile, Machine Learning algorithms are now becoming an...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Frontiers Media S.A.
2022-09-01
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| Schriftenreihe: | Frontiers in Physics |
| Schlagworte: | |
| Online-Zugang: | https://www.frontiersin.org/articles/10.3389/fphy.2022.957128/full |
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