AODE

Définition

Consideré comme l’un des algorithmes representatifs les plus intéressants parmi les classifieurs bayésiens

Français

AODE

Anglais

AODE

Averaged one-dependence estimators

Averaged one-dependence estimators (AODE) is a probabilistic classification learning technique. It was developed to address the attribute-independence problem of the popular naive Bayes classifier. It frequently develops substantially more accurate classifiers than naive Bayes at the cost of a modest increase in the amount of computation.[1]

Source: HAL Archives ouvertes

Source : Wikipedia Machine Learning