Tensor decomposition for learning Gaussian mixtures from moments
In data processing and machine learning, an important challenge is to recover and exploit models that can represent accurately the data. We consider the problem of recovering Gaussian mixture models from datasets. We investigate symmetric tensor decomposition methods for tackling this problem, where...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Academic Press
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |