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Group-based local adaptive deep multiple kernel learning with lp norm
The deep multiple kernel Learning (DMKL) method has attracted wide attention due to its better classification performance than shallow multiple kernel learning. However, the existing DMKL methods are hard to find suitable global model parameters to improve classification accuracy in numerous dataset...
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| Publicado en: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7498035/ https://ncbi.nlm.nih.gov/pubmed/32941468 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0238535 |
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