- Category:
- AI-NN-PR
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- 146kb
- Update:
- 2012-11-26
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- 李浩
Description: : Naive Bayesian classifier is a simple and efficient classifier, but its attribute independence assumption that the real world so that it can not be said to rely on the relationship between attributes, as well as its passive learning strategies, the impact of the classification of its performance . This article from a different point of view, discussion and analysis of three to improve the performance of Naive Bayes classification method. For further research and lay a solid foundation.
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