Parallelization of the PC Algorithm
This paper describes a parallel version of the PC algorithm for learning the structure of a Bayesian network from data. The PC algorithm is a constraint-based algorithm consisting of fi ve steps where the first step is to perform a set of (conditional) independence tests while the remaining four...
| Päätekijät: | , , , , |
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| Aineistotyyppi: | info:eu-repo/semantics/article |
| Kieli: | English |
| Julkaistu: |
2017
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| Linkit: | http://hdl.handle.net/10835/4856 |