Compressed computations using wavelets for hidden Markov models with continuous observations
Compression as an accelerant of computation is increasingly recognized as an important component in engineering fast real-world machine learning methods for big data; c.f., its impact on genome-scale approximate string matching. Previous work showed that compression can accelerate algorithms for Hid...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science (PLoS)
2023-01-01
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| Serie: | PLoS ONE |
| Accesso online: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243634/?tool=EBI |
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