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...

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Bibliographic Details
Main Authors: Hua Lou, Gaojie Wang, Limin Wang, Musa Mammadov
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9169616/