MATLAB Implementation of Support Vector Machine with Code Examples
A complete MATLAB support vector machine program featuring multiple practical usage examples and implementation details
Support Vector Machine SMO Algorithm Implementation
Sequential Minimal Optimization (SMO) algorithm for Support Vector Machines - an efficient implementation approach for SVM with detailed code-related explanations
SVM (Support Vector Machine) - Binary and Multiclass Classification with MATLAB Implementation
SVM (Support Vector Machine) algorithms for binary classification and multiclass problems including One-vs-One and One-vs-Rest approaches with complete MATLAB training and testing code implementation
Statistical Pattern Recognition Toolbox
The Statistical Pattern Recognition Toolbox includes: 1) Analysis of linear discriminant functions with implementation examples, 2) Feature extraction using Linear Discriminant Analysis (LDA) algorithms, 3) Probability distribution estimation and clustering techniques, 4) Support Vector Machines and other kernel-based methods with practical code demonstrations.
Breast Cancer Dataset for Machine Learning Research
The breast cancer dataset serves as a critical benchmark for studying support vector machines, sample selection methods, and kernel methods in machine learning applications.
Support Vector Machine Demonstration for Classification Problems
A comprehensive demonstration program showcasing Support Vector Machine applications in classification problems, featuring both linear and non-linear implementations with practical code examples.
MATLAB Implementation of Support Vector Machine with Iris Dataset Classification
This custom MATLAB implementation of Support Vector Machine (SVM) demonstrates effective pattern recognition when tested on the iris dataset, achieving excellent classification performance through optimized feature analysis and prediction mechanisms.
Support Vector Machine Beamforming Implementation
An application of Support Vector Machine in beamforming can effectively form beams with excellent performance, utilizing kernel functions for signal separation and direction-of-arrival estimation.
Support Vector Machine Nonlinear Regression General Implementation
General MATLAB Program for Support Vector Machine Nonlinear Regression and Comparative Study with BP Neural Network Approaches
Visualized Nonlinear Support Vector Machine for Multi-Class Classification
Sharing a visualized nonlinear SVM multi-classification source code that is practical and easy to learn, featuring kernel function implementation and decision boundary visualization, worthy of further development.