Multiple Algorithms for Active Learning and Semi-Supervised Learning

A comprehensive collection of multiple algorithms integrating both active learning and semi-supervised learning techniques, serving as valuable learning material with practical code implementations.

MATLAB Implementation of S4VM Algorithm for Semi-Supervised Learning

S4VM algorithm implementation in MATLAB provides an effective approach for semi-supervised learning, supporting testing on multiple datasets with included examples for immediate use and practical experimentation

Professional MATLAB source code with comprehensive documentation, examples, and detailed implementation guide.

An Implementation of Standard Label Propagation Algorithm

A code implementation of the standard label propagation algorithm for semi-supervised node classification in graph data

Semi-supervised Affinity Propagation Clustering: Algorithm and Implementation

Semi-supervised Affinity Propagation Clustering with constraint integration and similarity matrix modification techniques

Semi-Supervised Kernel Principal Component Analysis

Semi-Supervised Kernel Principal Component Analysis (SS-KPCA)