DATAQUEST

Killing mosquitoes- with technology sprays like TinyML, CNN and acoustic sensing

Let's understand how the wing beats of a mosquito become the very arsenal to fight them- with the use of Machine Learning, ...
Devdiscourse

Explainable AI Reveals What Shapes Recovery After Prostate Cancer Surgery

Artificial intelligence may be able to do more than predict what happens after prostate cancer surgery; it can also help ...
Tech Times on MSN

AI decodes DNA switch that starts 60 percent of human genes; mutations now assessable for cancer

AI decodes the initiator, a genetic switch present in roughly 60% of focused human gene promoters, giving researchers the ...
IEEE

Unified Twin Support Vector Machines for Large-Scale Pattern Classification

Abstract: Over the years, researchers have proposed numerous Twin Support Vector Machines (TSVM) variants aimed at addressing diverse challenges. These variants encompass sparse TSVM models, robust ...
Frontiers

Support vector machine-based classification of bulimia nervosa using diffusion tensor imaging

Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
Scientific Research Publishing

Wu, Y. and Liu, Y. (2007) Robust Truncated Hinge Loss Support Vector Machines. Journal of the American Statistical Association, 102, 974-983.

ABSTRACT: In the field of machine learning, support vector machine (SVM) is popular for its powerful performance in classification tasks. However, this method could be adversely affected by data ...
Frontiers

Migraine triggers, phases, and classification using machine learning models

In many countries, patients with headache disorders such as migraine remain under-recognized and under-diagnosed. Patients affected by these disorders are often unaware of the seriousness of their ...
Nature

Support Vector Machine Classification Techniques

Support vector machines (SVMs) constitute a class of supervised learning models designed to perform classification by constructing a decision boundary, or hyperplane, that optimally separates data ...
IEEE

Manifold Energy Projection Twin Support Vector Machine for Semi-Supervised Classification

Abstract: The Projection Twin Support Vector Machine (PTSVM) and its variant, the Least Squares PTSVM (LSPTSVM), have demonstrated significant effectiveness in supervised classification tasks due to ...
quantumzeitgeist

Quantum Computing Acceleration of Support Vector Machines

Machine learning has reached a critical juncture, with traditional methods struggling to keep pace with the demands of complex data sets. Enter quantum computing, poised to revolutionize the field by ...
marktechpost

Support Vector Machine (SVM) Algorithm

Support Vector Machines (SVMs) are a powerful and versatile supervised machine learning algorithm primarily used for classification and regression tasks. They excel in high-dimensional spaces and are ...