Pathway Graphical Lasso
Graphical models provide a rich framework for summarizing the dependencies among variables. The approach attempts to learn the structure of a Gaussian graphical model (GGM) by maximizing the log likelihood of the data, subject to an penalty on the elements of the inverse co-variance matrix. Most alg...
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| Published in: | Proceedings of the ... AAAI Conference on Artificial Intelligence Vol. 2015; pp. 2617 - 2623 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
United States
01.01.2015
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| ISSN: | 2159-5399 |
| Online Access: | Get more information |
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