Using extreme prior probabilities on the Naive Credal Classifier

The Naive Credal Classifier (NCC) was the first method proposed for Imprecise Classification. It starts from the known Naive Bayes algorithm (NB), which assumes that the attributes are independent given the class variable. Despite this unrealistic assumption, NB and NCC have been successfully used i...

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Veröffentlicht in:	Knowledge-based systems 2022-02, Vol.237, p.107707, Article 107707
Hauptverfasser:	Moral-García, Serafín, Castellano, Javier G., Mantas, Carlos J., Abellán, Joaquín
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification Classifiers Decision trees Extreme Prior Naive Credal Classifier Imprecise Classification Lower and upper prior probabilities Naive Credal Classifier Non-dominated states set
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