A distance-based kernel for classification via Support Vector Machines

A distance-based kernel for classification via Support Vector Machines

Support Vector Machines (SVMs) are a type of supervised machine learning algorithm widely used for classification tasks. In contrast to traditional methods that split the data into separate training and testing sets, here we propose an innovative approach where subsets of the original data are rando...

Full description

Bibliographic Details
Main Authors: Nazhir Amaya-Tejera, Margarita Gamarra, Jorge I. Vélez, Eduardo Zurek
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Artificial Intelligence
Subjects:
support vector machines (SVMs)
classification
distance-based kernel
kernel method
machine learning
supervised learning
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1287875/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2024.1287875/full

Similar Items