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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10243634/ https://www.ncbi.nlm.nih.gov/pubmed/37279196 http://dx.doi.org/10.1371/journal.pone.0286074 |