Improved incremental algorithm of Naive Bayes
A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2016-10-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016199/ |
| _version_ | 1826875044858429440 |
|---|---|
| author | Shui-fei ZENG Xiao-yan ZHANG Xiao-feng DU Tian-bo LU |
| author_facet | Shui-fei ZENG Xiao-yan ZHANG Xiao-feng DU Tian-bo LU |
| author_sort | Shui-fei ZENG |
| collection | DOAJ |
| description | A novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was detected in the corpus,it would be mapped into feature space,and then the corresponding classifier was updated.Thus this method played a very important role in class confidence threshold.Finally,it took advantage of the unlabeled and annotated corpus to validate improved incremental algorithm of Naive Bayes.The experimental results show that an improved incremental algorithm of Naive Bayes significantly outperforms traditonal incremental algorithm. |
| first_indexed | 2025-02-17T00:43:57Z |
| format | Article |
| id | doaj.art-eb386e255cbb443a953e5f5052db8f0d |
| institution | Directory Open Access Journal |
| issn | 1000-436X |
| language | zho |
| last_indexed | 2025-02-17T00:43:57Z |
| publishDate | 2016-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj.art-eb386e255cbb443a953e5f5052db8f0d2025-01-14T06:56:08ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-10-0137819159704047Improved incremental algorithm of Naive BayesShui-fei ZENGXiao-yan ZHANGXiao-feng DUTian-bo LUA novel Naive Bayes incremental algorithm was proposed,which could select new features.For the incremental sample selection of the unlabeled corpus,a minimum posterior probability was designed as the double threshold of sample selection by using the traditional class confidence.When new feature was detected in the corpus,it would be mapped into feature space,and then the corresponding classifier was updated.Thus this method played a very important role in class confidence threshold.Finally,it took advantage of the unlabeled and annotated corpus to validate improved incremental algorithm of Naive Bayes.The experimental results show that an improved incremental algorithm of Naive Bayes significantly outperforms traditonal incremental algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016199/Naive Bayesincremental algorithmfeature spaceevaluation index |
| spellingShingle | Shui-fei ZENG Xiao-yan ZHANG Xiao-feng DU Tian-bo LU Improved incremental algorithm of Naive Bayes Tongxin xuebao Naive Bayes incremental algorithm feature space evaluation index |
| title | Improved incremental algorithm of Naive Bayes |
| title_full | Improved incremental algorithm of Naive Bayes |
| title_fullStr | Improved incremental algorithm of Naive Bayes |
| title_full_unstemmed | Improved incremental algorithm of Naive Bayes |
| title_short | Improved incremental algorithm of Naive Bayes |
| title_sort | improved incremental algorithm of naive bayes |
| topic | Naive Bayes incremental algorithm feature space evaluation index |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016199/ |
| work_keys_str_mv | AT shuifeizeng improvedincrementalalgorithmofnaivebayes AT xiaoyanzhang improvedincrementalalgorithmofnaivebayes AT xiaofengdu improvedincrementalalgorithmofnaivebayes AT tianbolu improvedincrementalalgorithmofnaivebayes |