Not So Naive Bayes: Aggregating One-Dependence Estimators
نویسندگان
چکیده
منابع مشابه
Decreasingly naive Bayes: Aggregating n-dependence estimators
Averaged n-Dependence Estimators (AnDE) is an approach to probabilistic classification learning that learns without search. It utilizes a single parameter that transforms the approach between a low-variance high-bias learner (Naive Bayes) and a high-variance low-bias learner with Bayes optimal asymptotic error. It extends the underlying strategy of Averaged One-Dependence Estimators (AODE), whi...
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2005
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-005-4258-6