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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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science (PLoS)
2023-01-01
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| Col·lecció: | PLoS ONE |
| Accés en línia: | https://doi.org/10.1371/journal.pone.0286074 |
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