IEEE

SVM Classifier and evaluation of muscle power of EMG signals and Python implementation

Abstract: In this work, an EMG-based signal implemented through a Python programming methodology classifier is presented. The developed system is based on the flexor digitorum profundus muscle signals ...
GitHub

AbdelazizEbrahim/spam_detection_naive-svm

This repository contains two powerful Python scripts for spam classification using Naïve Bayes and Support Vector Machine (SVM) algorithms. Each script implements a complete pipeline for loading, ...
搜狐

Python支持向量机（SVM）二分类问题与决策边界可视化

支持向量机（SVM）是一种常用的分类算法，它特别擅长处理具有线性可分特征的数据集。SVM的核心思想是找到一个超平面，将数据集中的不同类别尽可能地分开，并且最大化样本间的间隔。 1. 数据生成与SVM模型训练 首先，我们生成两个类别的数据点，每个类别20 ...
IEEE

Pseudo-Example Based Iterative SVM Learning Approach for Gender Classification

Abstract: In order to increase the detection accuracy in gender classification, a pseudo-example based iterative learning approach combining support vector machine (SVM) and active appearance model ...
GitHub

Adding code for SVM using Python and C++

SET_TARGET_PROPERTIES(svm_lib PROPERTIES OUTPUT_NAME ${LIB_PREFIX}_svm_lib) SET_TARGET_PROPERTIES(svm_classification PROPERTIES OUTPUT_NAME svm_classification) SET_TARGET_PROPERTIES(svm_regression ...
搜狐

使用Python训练SVM模型识别手写体数字

支持向量机SVM(Support Vector Machine)是有监督的分类预测模型，本篇文章使用机器学习库scikit-learn中的手写数字数据集介绍使用Python对SVM模型进行训练并对手写数字进行识别的过程。 手写数字识别的原理是将数字的图片分割为8X8的灰度值矩阵，将这64个灰度值作为 ...