Constraint Projection-based Support Vector Machines Selective Ensemble Algorithms
基于约束投影的支持向量机选择性集成

This paper proposed two constraint project-based selective ensemble algorithms of support vector machines.Firstly,projective matrices were determined upon randomly selected must-link and cannot-link constraint sets,with which original training samples were transformed into different representation spaces to learn a group of base classifiers.Then,two selective ensemble techniques of genetic optimization and minimizing deviation errors were utilized to combine base classifiers.Experiments on UCI datasets show...