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Efficient Heuristics for Structure Learning of k-Dependence Bayesian Classifier
The rapid growth in data makes the quest for highly scalable learners a popular one. To achieve the trade-off between structure complexity and classification accuracy, the k-dependence Bayesian classifier (KDB) allows to represent different number of interdependencies for different data sizes. In th...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512482/ https://ncbi.nlm.nih.gov/pubmed/33266621 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20120897 |
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