NaIve Bayes for microRNA target predictions-machine learning for microRNA targets. Bioinformatics 2007; 23: 2987-92.Yousef M, Jung S, Kossenkov AV, et al. Naive Bayes for microRNA target predictio...
wireless sensor network; routing protocol; clustering; energy consumption optimization; channel model; naïve Bayes1. Introduction A wireless sensor network (WSN) is a multi-hop self-organizing network composed of a large number of microsensors with a dynamic topology. Data gathering and transmission...
Naive Bayes is computationally inexpensive and also needs a very low amount of memory [20]. The role of the NB in this study is to classify the received content into two classes, where the first class represents the consumed data that belong to the server or domain of the addressed network...
In the supervised classification area, the algorithm selection problem (ASP) refers to determining the a priori performance of a given classifier in some specific problem, as well as the finding of which is the most suitable classifier for some tasks. Re