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For example, we consider any tenders site, there may be thousands of tenders getting published every day, so it is very hard for the user to surf every tender one after another to get the tender of his/her need. But, in our method firstly, we are using bag of words method to gather...
NaiveBayesClassifier is a Multinomial Naive-Bayes Classifier that uses Laplace Smoothing. - hdmchl/NaiveBayesClassifier
For example, it may be that older customers actually are more likely to buy our product on warm days, whereas younger customers are more likely to buy on cold days. Naïve Bayes will be completely blind to such an interaction effect. Beyond not seeing interactions, Naïve Bayes forces a ...
Structure extended multinomial naive Bayes Multinomial naive Bayes (MNB) assumes that all attributes (i.e., features) are independent of each other given the context of the class, and it ignores all... Liangxiao Jiang a b,Shasha Wang a,Chaoqun Li c,... - 《Information Sciences》 被引量...
//We create a standard naive Bayes DAG dag = new DAG(variables); for (Variable variable: variables){ if (variable==hiddenVar) continue; dag.getParentSet(variable).addParent(hiddenVar); } //This is needed to maintain coherence in the Model class. this.dag=dag; this.vars = variables; }...
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Naive (Bayes) at forty: The independence assumption in information retrieval. In European Conference on Machine Learning 1998; Springer: Berlin/Heidelberg, Germany, 1998; pp. 4–15. 26. Miguel-Hurtado, O.; Guest, R.; Stevenage, S.V.; Neil, G.J.; Black, S. Comparing Machine Learning ...