Explore MATLAB source code curated for "支持向量机" with clean implementations, documentation, and examples.
A highly practical Support Vector Machine toolbox containing LS-SVM core algorithms with demonstration examples, complete with detailed usage documentation and implementation guides
A comprehensive multi-class classification experimental system with a graphical user interface, fully implemented in MATLAB. The system supports various classification and recognition tasks, utilizing Support Vector Machine (SVM) algorithms with extensible architecture for integrating additional classification methods. This implementation serves as a supplementary program for my graduation project, featuring modular code design with key functions for data preprocessing, model training, and result visualization.
Original implementation of Support Vector Machine for handwritten digit recognition achieving 100% accuracy rate with optimized parameter tuning and kernel function selection
MATLAB LS-SVMlab toolbox overview covering support vector machines, least squares SVM variants, classification/regression examples, parameter tuning, and model selection techniques with practical code implementations
I personally find the Least Squares Support Vector Machine Toolbox exceptionally user-friendly and would like to share it with everyone!
MATLAB implementation of Bayesian inference for optimizing Least Squares Support Vector Machine parameters with enhanced computational efficiency
MATLAB-based source code implementing Support Vector Machine (SVM) classification algorithm with detailed technical analysis
A Support Vector Machine Toolbox featuring MATLAB demonstration programs and essential functions including kernel computation functions, SVM training algorithms, and cross-validation functions for parameter selection. This toolbox provides efficient implementations for key SVM operations with practical code examples.
Support Vector Machine multi-parameter automatic selection optimization program! Machine learning and data mining tool implemented in MATLAB with automated parameter tuning algorithms.
MATLAB programs for Genetic Algorithm optimization and Least Squares Support Vector Machine implementation with code structure explanations