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Kernel Analysis Based on Dirichlet Processes Mixture Models
Kernels play a crucial role in Gaussian process regression. Analyzing kernels from their spectral domain has attracted extensive attention in recent years. Gaussian mixture models (GMM) are used to model the spectrum of kernels. However, the number of components in a GMM is fixed. Thus, this model s...
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| Publicado en: | Entropy (Basel) |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI
2019
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7515386/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21090857 |
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