A Novel Mixed-Attribute Fusion-Based Naive Bayesian Classifier
The Naive Bayesian classifier (NBC) is a well-known classification model that has a simple structure, low training complexity, excellent scalability, and good classification performances. However, the NBC has two key limitations: (1) it is built upon the strong assumption that condition attributes a...
| Published in: | Applied Sciences |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/20/10443 |