Model Weighting for One-Dependence Estimators by Measuring the Independence Assumptions
The superparent one-dependence estimators (SPODEs) is a popular family of semi-naive Bayesian network classifiers, and the averaged one-dependence estimators (AODE) provides efficient single pass learning with competitive classification accuracy. All the SPODEs in AODE are treated equally and have t...
Main Authors: | Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov |
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Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9169616/ |
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