Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
IEEE

Sensor Fault Classification Based on Support Vector Machine and Statistical Time-Domain Features

Abstract: This paper deals with the problem of fault detection and diagnosis in sensors considering erratic, drift, hard-over, spike, and stuck faults. The data set containing samples of the above ...
The Lancet

Metabolic detection of malignant brain gliomas through plasma lipidomic analysis and support vector machine-based machine learning

aInstitute of Precision Medicine, Peking University Shenzhen Hospital, Shenzhen 518036, China bInstitute of Systems Biomedicine, Department of Pathology, School of Basic Medical Sciences, ...
Frontiers

Support vector machine deep mining of electronic medical records to predict the prognosis of severe acute myocardial infarction

Cardiovascular disease is currently one of the most important diseases causing death in China and the world, and acute myocardial infarction is a major cause of cardiovascular disease. This study ...
GitHub

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

Several open resource toolboxes provide feature selection algorithms to decrease redundant features, data dimensionality, and computing costs. These approaches demand programming expertise, limiting ...
Frontiers

The Bilateral Precuneus as a Potential Neuroimaging Biomarker for Right Temporal Lobe Epilepsy: A Support Vector Machine Analysis

While evidence has demonstrated that the default-mode network (DMN) plays a key role in the broad-scale cognitive problems that occur in right temporal lobe epilepsy (rTLE), little is known about ...
IEEE

Multiplane Convex Proximal Support Vector Machine

Abstract: As an effective method for XOR problems, generalized eigenvalue proximal support vector machine (GEPSVM) recently has gained widespread attention accompanied with many variants proposed.