IEEE

Generalized bell fuzzy proximal twin support vector machine for multi-class classification

Abstract: Fuzzy support vector machine is a versatile machine learning technique for addressing binary classification and regression challenges. However, it still faces problems related to borderline ...
C&EN

Predicting the Properties of IL-Solvent Electrolytes Using a Hybrid Support Vector Classification and Gradient Boosting Regression (SVC-GBR) Framework

Henry Krumb School of Mines, Earth and Environmental Engineering Department, Columbia University, New York, New York 10027, United States ...
GitHub

Python Implementation of MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encodings

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
IEEE

Granular-Ball Computing-Based Fuzzy Twin Support Vector Machine for Pattern Classification

Abstract: The twin support vector machine (TWSVM) classifier and its fuzzy variant fuzzy twin support vector machine (FTSVM) have received considerable attention due to their low computational ...
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 ...