Sequential Minimal Optimization (SMO) Algorithm for Support Vector Machines (SVM)
Implementation and Optimization of the SMO Algorithm for Training Support Vector Machines with Code-Level Insights
Detailed SVM Examples (Including Classification and Regression) with Implementation Approaches
Comprehensive support vector machine (SVM) examples covering classification, regression, and MATLAB implementation using SMO algorithm with code-related explanations
Support Vector Machine (SVM) Toolbox for MATLAB
A comprehensive MATLAB toolbox designed for implementing Support Vector Machine algorithms in classification and regression tasks.
Implementation Routines for Clustering and Classification Using SVM Algorithm
Support Vector Machine (SVM) algorithms for both classification and clustering tasks, with enhanced descriptions of implementation approaches and key functions
BP Neural Networks for Classification and Regression
Implementation and Applications of BP Neural Networks in Classification and Regression Tasks