A Dynamic Programming Algorithm for Learning Chain Event Graphs
Chain event graphs are a model family particularly suited for asymmetric causal discrete domains. This paper describes a dynamic programming algorithm for exact learning of chain event graphs from multivariate data. While the exact algorithm is slow, it allows reasonably fast approximations and prov...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2013
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/2985 http://link.springer.com/chapter/10.1007%2F978-3-642-40897-7_14 |
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| Institution: | Singapore Management University |
| Language: | English |