A new physarum learner for network structure learning from biomedical data
A novel structure learning algorithm for Bayesian Networks based on a Physarum Learner is presented. The length of the connections within an initially fully connected Physarum-Maze is taken as the inverse Pearson correlation coefficient between the connected nodes. The Physarum Learner then estimate...
| Main Author: | |
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| Other Authors: | , , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2013
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10773/10912 |
| Country: | Portugal |
| Oai: | oai:ria.ua.pt:10773/10912 |