Structural Learning about Directed Acyclic Graphs from Multiple Databases
We propose an approach for structural learning of directed acyclic graphs from multiple databases. We first learn a local structure from each database separately, and then we combine these local structures together to construct a global graph over all variables. In our approach, we do not require co...
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| Главный автор: | |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Wiley
2012-01-01
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| Серии: | Abstract and Applied Analysis |
| Online-ссылка: | http://dx.doi.org/10.1155/2012/579543 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
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