An Introduction to Support Vector Machines

Magnetic resonance imaging (MRI) is a sensitive diagnostic method in improving the diagnostic capaci

A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optim

Air Pollutant Concentration Forecast Based on Support Vector Regression and Quantum-Behaved Particle

We propose a decision fusion method of Sparse Representation (SR) and Support Vector Machine (SVM) f

The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning an

基于最小二乘支持向量机的低频振动切削加工表面粗糙度的预测 ，杜伟文，顾立志，本文将一种基于最小二乘支持向量机的预测方法引入低频振动切削加工表面粗糙度的预测模型。该模型基于低频振动切削试验，获取振动

Intelligent optimization algorithms have advantages in dealing with complex nonlinear problems accom

Single Object Tracking With Fuzzy Least Squares Support Vector Machine

支持向量机_with_python 在本笔记本中,我们介绍了支持向量机(SVM)算法,这是一种功能强大但简单的监督学习方法,用于预测数据。 对于分类任务,SVM算法尝试将特征空间中的数据划分为不同的类

本论文首次提出了SMO算法,用于优化二次规划问题,显著提高了SVM算法速度和准确性,为机器学习的发展做出了巨大贡献。