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Discriminative Structure Learning of Bayesian Network Classifiers from Training Dataset and Testing Instance
Over recent decades, the rapid growth in data makes ever more urgent the quest for highly scalable Bayesian networks that have better classification performance and expressivity (that is, capacity to respectively describe dependence relationships between attributes in different situations). To reduc...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514978/ https://ncbi.nlm.nih.gov/pubmed/33267204 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21050489 |
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