svm工具箱 Resources

Showing items tagged with "svm工具箱"

The package provides complete source code accompanied by detailed explanations in TXT and Word formats, including comprehensive instructions for using the SVM toolbox. It covers various SVM classification algorithms with in-depth explanations. The implementation contains two practical examples and an optimizer module, offering both traditional SVM classification and an enhanced newsvm classification method for broader application scenarios.

MATLAB 242 views Tagged
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An implementation of online SVM that enables dynamic modeling through selective sample retention and removal. This code requires SVM toolbox support and includes both the toolbox components and source code for the online SVM algorithm, featuring incremental learning capabilities and efficient memory management.

MATLAB 221 views Tagged
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This implementation provides four distinct SVM toolboxes for classification and regression algorithms: 1) LS_SVMlab toolbox with Classification_LS_SVMlab.m for multi-class classification and Regression_LS_SVMlab.m for function fitting using Least Squares SVM approach; 2) OSU_SVM3.00 toolbox featuring Classification_OSU_SVM.m for multi-class classification; 3) stprtool SVM toolbox containing Classification_stprtool.m for multi-class classification tasks; 4) SVM_SteveGunn toolbox with Classification_SVM_SteveGunn.m for binary classification and Regression_SVM_SteveGunn.m for function fitting.

MATLAB 222 views Tagged
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MATLAB SVM toolbox implementation with excellent usability. Place data in the MATLAB folder, open MATLAB, and execute the sequence: 1. mex setup 2. y 3. 2 4. y to obtain classification accuracy and test result matrix using training and testing samples. The implementation involves compiling C/C++ extensions through mex configuration for optimized SVM computation.

MATLAB 198 views Tagged
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