Modified Naive Bayes with Hurst Exponent as Quantitative Measure of Data Mutual Dependence

Yandex School of Data Analysis Conference Machine Learning: Prospects and Applications The socalled naive Bayes classifier is based on the assumption of independency of characteristics (features) in question. That is, estimated probability of an event with a given set of features, according to Bayes, is based on product conditional probabilities of the event relative to the features in question. A practical use of the Bayes estimate is mostly determined not by its