Rating corrumption within insurance companies using Bayesian network classifiers
Bayesian Network (BN) classifiers are a type of probabilistic models. The learning process consists of two steps, structure learning and parameter learning. Four BN classifiers will be learned. These are two different Naive Bayes classifiers (NB), one Tree Augmented Naive Bayes classifier (TAN) and...
| Main Author: | |
|---|---|
| Format: | Others |
| Language: | English |
| Published: |
Umeå universitet, Statistik
2019
|
| Subjects: | |
| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160810 |