https://github.com/qdata/fasjem
AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
https://github.com/qdata/fasjem
gaussian-graphical-models graphical-models machine-learning multitasking
Last synced: about 2 months ago
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AISTAT 2017 Paper: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models
- Host: GitHub
- URL: https://github.com/qdata/fasjem
- Owner: QData
- License: apache-2.0
- Created: 2017-01-25T09:03:08.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2019-08-28T16:28:08.000Z (over 5 years ago)
- Last Synced: 2025-01-11T11:26:35.166Z (4 months ago)
- Topics: gaussian-graphical-models, graphical-models, machine-learning, multitasking
- Language: R
- Homepage: https://cran.r-project.org/web/packages/fasjem/
- Size: 5.5 MB
- Stars: 2
- Watchers: 7
- Forks: 0
- Open Issues: 0