Different types of Bernstein operators in inference of Gaussian graphical model
The Gaussian graphical model (GGM) is a powerful tool to describe the relationship between the nodes via the inverse of the covariance matrix in a complex biological system. But the inference of this matrix is problematic because of its high dimension and sparsity. From previous analyses, it has bee...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2016-12-01
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| Series: | Cogent Mathematics |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/23311835.2016.1154706 |