Computer-aided diagnosis (CAD) in medicine is the result of a large amount of effort
expended in the interface of medicine and computer science. As some CAD systems in …

The rock mass is one of the key parameters in engineering design. Accurate rock mass
classification is also essential to ensure operational safety. Over the past decades, various …

Abstract Support Vector Machine (SVM) primarily uses the hinge loss function with maximum
margin. The boundary instances determine the separating hyperplanes. However, in real …

Bariatric surgery (BAR) has become a popular treatment for type 2 diabetes mellitus which is
among the most critical obesity-related comorbidities. Patients who have bariatric surgery …

Noise and outlier data processing are important issues to support vector machine (SVM).
Although the pinball-loss SVM (Pin-SVM) and ramp-loss SVM (Ramp-SVM) are able to deal …

Although the twin support vector regression (TSVR) has been extensively studied and
diverse variants are successfully developed, when it comes to outlier-involved training set …

Pairs trading is a popular classic neutral trading strategy in financial market. Deep
reinforcement learning (DRL) has been widely used to improve the performance of this …

Conventional medical practices rely on population-derived guidelines, striving for optimal
outcomes for the “average” patient through a so-called “one-size-fits-all” approach. Precision …

SVM utilizes the hinge loss function and maximum margin to find the separating hyperplane.
In SVM, only the boundary instances/support vectors confine the separating hyperplane …

To improve the decision performance using historical decision data, this paper proposes a
data-driven decision model based on local two-stage weighted ensemble learning. The …