An Obstacle Avoidance Approach Based on Naive Bayes Classifier

Bayes and Naive Bayes Classifier

Bayes and Naive-Bayes Classifier

Pairwise Naive Bayes Classifier

A New Approach for Text Documents Classification with Invasive Weed Optimization and Naive Bayes Classifier

With the fast increase of the documents, using Text Document Classification (TDC) methods has become a crucial matter. This paper presented a hybrid model of Invasive Weed Optimization (IWO) and Naive Bayes (NB) classifier (IWO-NB) for Feature Selection (FS) in order to reduce the big size of features space in TDC. TDC includes different actions such as text processing, feature extraction, form...

DoS Attack Detection Based on Naive Bayes Classifier

Interconnected systems, such as Web servers, database servers are now under threats from network attackers. Denial-of-service (DoS) attack is one such means which severely degrades the availability of a victim, which can be a host, a router, an entire network. They impose intensive computation tasks to the victim by flooding it with huge amount of useless packets. The victim is forced out of se...

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...