In this study, the Variational Bayes (VB) approach was hybridized with the bootstrap prior
procedure to improve the accuracy of subset selection as well as optimizing the algorithm …

This paper proposes a weighted Support Vector Machine (w-SVM) method for efficient class
prediction in binary response data sets. The proposed method was obtained by introducing …

Background The computerised classification and prediction of heart disease can be useful
for medical personnel for the purpose of fast diagnosis with accurate results. This study …

Objective: The occurrence of colon cancer starts in the inner wall of the large intestine. The
survival of colon cancer patients strongly relies on early detection. Diagnosing colon cancer …

Recent findings reveal that various cancer types can be diagnosed using non-clinical
approach which involves monitoring of the biological samples using their genes expression …

The opinions and sentiments expressed by citizens of a country on the policies of the
government of such country are very vital to the overall running of the affairs of such a …

Since the “high stock dividend” of A-share companies in China often leads to the short-term
stock price increase, this phenomenon's prediction has been widely concerned by academia …

This study proposes an efficient method for optimal selection of feature subsets to enhance
the classification performance of Support Vector Machine (SVM) in a binary and multiclass …

Background & Aim: In this study, efficient Support Vector Machine (SVM) algorithm for
feature selection and classification of multi-category tumour classes of biological samples …

Objective: This study presents a method for optimal selection of gene subsets to enhance
the non-clinical diagnostic classification and prediction of colorectal cancer using gene …