IMPLEMENTASI ALGORITMA MULTINOMIAL NAIVE BAYES CLASSIFIER

Reversing and Smoothing the Multinomial Naive Bayes Text Classifier

Abstract. The naive Bayes text classifier has long been a core technique in information retrieval and, more recently, it has emerged as a focus of research itself in machine learning. This paper is concerned with the naive Bayes text classifier in its multinomial model instantiation. This model and an “equivalent” reversed version proposed here are interpreted under the statistical framework of...

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

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 dependencies among attributes. However, in many real-world applications, the attribute independence assumption required by MNB is often violated and thus harms its performance. To weaken this assumption, one of the most direct ways is to ext...

Pairwise Naive Bayes Classifier

The Indifferent Naive Bayes Classifier

The Naive Bayes classifier is a simple and accurate classifier. This paper shows that assuming the Naive Bayes classifier model and applying Bayesian model averaging and the principle of indifference, an equally simple, more accurate and theoretically well founded classifier can be obtained. Introduction In this paper we use Bayesian model averaging and the principle of indifference to derive a...