High-Dimensional Sparse Graph Estimation by Integrating DTW-D Into Bayesian Gaussian Graphical Models
Graphical models provide an effective way to reveal complicated associations in data and especially to learn the structures among large numbers of variables with respect to few observations in a high-dimensional space. In this paper, a novel graphical algorithm that integrates the dynamic time warpi...
| Auteurs principaux: | , , |
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| Format: | Article |
| Langue: | English |
| Publié: |
IEEE
2018-01-01
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| Collection: | IEEE Access |
| Sujets: | |
| Accès en ligne: | https://ieeexplore.ieee.org/document/8396215/ |