LinkedIn

MATLAB and its applications in Data Science and Machine Learning

MATLAB is one of the most widely utilized computational software platforms. The initial version was developed in the late 1970s by Cleve Moler, the chairman of the computer science department at the ...
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, ...
scienceopen.com

Enhancing Navigation and Object Recognition for Visually Impaired Individuals: A Gradient Support Vector Boosting-based Crossover Golden Jackal Algorithm Approach

On a global scale, individuals with vision impairments encounter various limitations when it comes to moving around and finding their way independently. Their daily activities are impeded by their ...
Nature

Identifying misdiagnosed bipolar disorder using support vector machine: feature selection based on fMRI of follow-up confirmed affective disorders

Nearly a quarter of bipolar disorder (BD) patients were misdiagnosed as major depressive disorder (MDD) patients, which cannot be corrected until mania/hypomania develops. It is important to recognize ...
Frontiers

Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine

Depression is a common mental disorder that seriously affects patients’ social function and daily life. Its accurate diagnosis remains a big challenge in depression treatment. In this study, we used ...
Forbes

The Rise Of Vector Databases

LONDON, ENGLAND - AUGUST 19: Workers clean the East-facing clock face of the Elizabeth Tower of the Houses of Parliament on August 19, 2014 in London, England. Workers are cleaning the four faces of ...
IEEE

Fast online algorithms for Support Vector Machines

Abstract: A novel online, i.e. stochastic gradient, learning algorithm in a primal domain is introduced and its performance is compared to the Sequential Minimal Optimization (SMO) based algorithm for ...
Nature

Raman spectroscopy combined with a support vector machine algorithm as a diagnostic technique for primary Sjögren’s syndrome

The aim of this study was to explore the feasibility of Raman spectroscopy combined with computer algorithms in the diagnosis of primary Sjögren syndrome (pSS). In this study, Raman spectra of 60 ...
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 ...
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.