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- W2247666841 abstract "We propose a fast large Bayesian network learning method using clustering. The proposed method use clustering to restrict the search space for DAG structures in Bayesian structure learning. The number of candidate DAGs considered in conventional Bayesian learning methods are restricted by the entire number of nodes. However, our proposed method considers search space restricted by the predetermined maximum size of the cluster. We show that our proposed method learns similar quality Bayesian structure with the previous SC(Sparse Candidate) method in much shorter time by experiment." @default.
- W2247666841 created "2016-06-24" @default.
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- W2247666841 date "2005-09-01" @default.
- W2247666841 modified "2023-09-24" @default.
- W2247666841 title "An Efficient Learning Method for Large Bayesian Networks using Clustering" @default.
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