Frontiers

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

Background: 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 ...
IEEE

FASTEN: Fuzzy Neural Support Vector Machine for Classification

Abstract: Classification tasks have long been a central concern in the field of machine learning. Although deep neural network-based approaches offer a novel, versatile, and highly precise solution ...
C&EN

Addressing Imbalanced Classification Problems in Drug Discovery and Development Using Random Forest, Support Vector Machine, AutoGluon-Tabular, and H2O AutoML

The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
BioSpace

OXB’s lentiviral vector manufacturing technology to support Boehringer Ingelheim’s newly initiated Phase I/II trial of first-in-class gene therapy for cystic fibrosis

Oxford, UK – 20 February 2025: OXB (LSE: OXB), a global quality and innovation-led cell and gene therapy CDMO, today announces that its proprietary lentiviral vector manufacturing technology will be ...
JSTOR Daily

Research on laser ultrasonic surface defect identification based on a support vector machine

To solve the problem of difficult quantitative identification of surface defect depth during laser ultrasonic inspection, a support vector machine-based method for quantitative identification of ...
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 ...
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 ...
Scientific Research Publishing

Ghosh, S., Dasgupta, A. and Swetapadma, A. (2019). A Study on Support Vector Machine Based Linear and Non-Linear Pattern Classification. 2019 International Conference on ...

ABSTRACT: The mango, a fruit of immense economic and dietary significance in numerous tropical and subtropical regions, plays a pivotal role in our agricultural landscape. Accurate identification is ...