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Multi-view Deep Gaussian Process with a Pre-training Acceleration Technique
Deep Gaussian process (DGP) is one of the popular probabilistic modeling methods, which is powerful and widely used for function approximation and uncertainty estimation. However, the traditional DGP lacks consideration for multi-view cases in which data may come from different sources or be constru...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7206310/ http://dx.doi.org/10.1007/978-3-030-47436-2_23 |