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General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification
A major challenge in many machine learning tasks is that the model expressive power depends on model size. Low-rank tensor methods are an efficient tool for handling the curse of dimensionality in many large-scale machine learning models. The major challenges in training a tensor learning model incl...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8777296/ https://www.ncbi.nlm.nih.gov/pubmed/35072057 http://dx.doi.org/10.3389/frai.2021.668353 |