We describe a target prediction method (NBmiRTar) that does not require sequence conservation, using instead, machine learning by a nave Bayes classifier. It generates a model from sequence and miRNA:m...
The cluster heads (CHs) are selected according to the CH conditional probability, which is estimated by the Naïve Bayes classifier. After the selection of the CHs, the multi-hop routing algorithm is applied to the CHs. The best routing path from each CH to the BS is obtained from an ...
where 𝛼α and 𝛽β represent, respectively, the frequency of requests that belong to the organization, and the requests that do not belong to the organization, These requests are classified using the Naive Bayes classifier. k represents the priority level of the space 𝐶2C2 with respect ...
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. Recently, this topic has attracted the attent...