-nearest neighbor algorithm, naïve Bayes, kernel naïve Bayes, decision trees, and support vector machine to distinguish between eleven …, followed by kernel naïve Bayes (91.9%), radial basis function (Gaussian) support vector machine (89.3%), linear discriminant …

. Therefore, we proposed the use of support vector machine for early differential diagnosis of PCa (SVM-PCa-EDD). SVM was used to …

. Design/methodology/approach - It can be seen that support vector machine (SVM) is used with particle swarm optimization (PSO …

Stock market time series are inherently noisy. Although support vector machine has the noise-tolerant property, the …