机译:用于软件缺陷预测的多核集成学习
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China;
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing, China;
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China;
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan, China;
Software defect prediction; Multiple kernel learning; Ensemble learning; Multiple kernel ensemble learning (MKEL);
机译:Omni-Ensemble学习(OEL):利用过度袋,静态和动态的集合选择方法,用于软件缺陷预测
机译:使用堆叠降噪自动编码器和两级集成学习的软件缺陷预测
机译:使用集成学习选定特征的软件缺陷预测
机译:通过多核学习和集合学习进行异构缺陷预测
机译:在软件缺陷预测环境中参数调整对机器学习性能的影响
机译:医疗保健大数据的软件缺陷预测:机器学习技术的实证评价
机译:使用K-PCA和基于各种基于内核的极端学习机器的软件缺陷预测:实证研究