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Received:June 11, 2020 Revised:July 15, 2020
Received:June 11, 2020 Revised:July 15, 2020
中文摘要: 朴素Bayes分类器是一种简单有效的机器学习工具. 本文用朴素Bayes分类器的原理推导出“朴素Bayes组合”公式, 并构造相应的分类器. 经过测试, 该分类器有较好的分类性能和实用性, 克服了朴素Bayes分类器精确度差的缺点, 并且比其他分类器更加快速而不会显著丧失精确度.
中文关键词: 朴素Bayes分类器 朴素Bayes组合 集成学习 条件独立性
Abstract:Naive Bayes classifier is a simple and effective machine learning tool. Based on the principle of naive Bayes classifier, this study deduces the formula of “naive Bayes combination” and constructs the corresponding classifier. It is found through testing that the classifier has superior classification performance and practicality as it overcomes the shortcoming of poor accuracy of naive Bayes classifier and is faster than other classifiers without significant loss of accuracy.
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基金项目:浙江省自然科学基金(LQ19F050004)
| Author Name | Affiliation | |
| SONG Cong-Wei | School of Science, Zhijiang College of Zhejiang University of Technology, Shaoxing 312030, China | songcwzjut@163.com |
| Author Name | Affiliation | |
| SONG Cong-Wei | School of Science, Zhijiang College of Zhejiang University of Technology, Shaoxing 312030, China | songcwzjut@163.com |
引用文本：
宋丛威.基于朴素Bayes组合的简易集成分类器.计算机系统应用,2021,30(2):265-267
SONG Cong-Wei.Simply Constructed Ensemble Classifier Based on Naive Bayes Combination.COMPUTER SYSTEMS APPLICATIONS,2021,30(2):265-267
宋丛威.基于朴素Bayes组合的简易集成分类器.计算机系统应用,2021,30(2):265-267
SONG Cong-Wei.Simply Constructed Ensemble Classifier Based on Naive Bayes Combination.COMPUTER SYSTEMS APPLICATIONS,2021,30(2):265-267
