AODE

Définition

consideré comme l’un des algorithmes representatifs les plus intéressantsparmi les classifieurs bayésienes

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Anglais

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