Explore MATLAB source code curated for "Libsvm" with clean implementations, documentation, and examples.
LIBSVM Support Vector Machine for classification identification. This program has been successfully applied in iris recognition research. It is a C program embedded in MATLAB with implementation details for algorithm integration.
This SVM toolbox extends LIBSVM with three parameter search methods and integrated plotting functions for enhanced model visualization and optimization
Handwriting Recognition Implementation Using libsvm - Includes Program Usage Instructions and Test Files with SVM Parameter Configuration Guidelines
A parameter optimization program for libsvm that provides full grid search optimization specifically designed for SVR (Support Vector Regression), primarily used for SVM regression prediction with detailed implementation of parameter tuning algorithms and cross-validation techniques.
LIBSVM is a straightforward MATLAB interface developed by researchers at National Taiwan University, designed for efficient SVM training and prediction operations with comprehensive parameter configuration and validation capabilities.
Cross-validation subfunction implementation for automated tuning of C (regularization parameter) and gamma (kernel parameter) in libsvm with code-level optimization strategies
Handwriting Recognition System Utilizing LIBSVM Library with SVM Algorithm Implementation
An in-depth analysis of LIB-SVM's structural parameters, kernel functions, SVM prediction, and training processes with code implementation insights.