Self-Adaptive Attribute Value Weighting for Averaged One-Dependence Estimators

Of numerous proposals for weakening the attribute independence assumption of Naive Bayes, averaged one-dependence estimators (AODE) learns by extrapolation from marginal to full-multivariate probability distributions, and has demonstrated reasonable improvement in terms of classification performance...

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Bibliographic Details
Main Authors: Limin Wang, Jie Chen, Yang Liu, Minghui Sun
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8984347/