Averaged One-Dependence Estimator

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An Averaged One-Dependence Estimator is probabilistic classification algorithm that was originally developed to address the attribute-independence problem of the popular naive Bayes classifier.



References

2014

  1. Webb, G. I., J. Boughton, and Z. Wang (2005). "Not So Naive Bayes: Aggregating One-Dependence Estimators". Machine Learning, 58(1), 5–24.

2011

2005

  • (Webb et al, 2005) ⇒ G. I. Webb, J. Boughton, and Z. Wang (2005). “Not So Naive Bayes: Aggregating One-Dependence Estimators". In: Machine Learning, 58(1).