In this study, we attempted to increase the prediction accuracy of the Discriminative Multinomial Naive Bayes by integrating global and local application of ...
In this study, we attempted to increase the prediction accuracy of the Discriminative Multinomial Naive Bayes by integrating global and local application of ...
In this study, we attempted to in- crease the prediction accuracy of the Discriminative Multinomial Naive Bayes by integrating global and local application of ...
Naive Bayes algorithm captures the assumption that every attribute is independent from the rest of the attributes, given the state of the class attribute.
Emmanuel Pappas, Sotiris B. Kotsiantis : Integrating Global and Local Application of Discriminative Multinomial Bayesian Classifier for Text Classification.
Abstract: Naive Bayes algorithm captures the assumption that every attribute is independent from the rest of the attributes,.
Missing: Discriminative Multinomial
This paper proposes and evaluates some general and effective techniques for improving performance of the naive Bayes text classifier, and suggests document ...
This study proposes three Bayesian counterparts, where it turns out that classical NB classifier with Bernoulli event model is equivalent to Bayesian.
Multinominal Naive Bayes (MNB) algorithm has been widely used in text classification due to its computational advantage and simplicity.
Missing: Local | Show results with:Local
Feb 1, 2016 · Multinomial naive Bayes (MNB) is widely used for text classification. · We summarize all categories of the existing improved approaches to MNB.
Missing: Global | Show results with:Global