机译:基于标签传播的半监督学习,用于软件缺陷预测
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, People's Republic of China;
School of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, People's Republic of China,State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, People's Republic of China;
State Key Laboratory of Software Engineering, School of Computer, Wuhan University, Wuhan 430072, People's Republic of China;
Software defect prediction; Semi-supervised learning; Nonnegative sparse graph; Label propagation; Nonnegative sparse graph based label propagation (NSGLP);
机译:具有主动和半监督学习的基于样本的软件缺陷预测
机译:在线半监督学习中通过标签传播和测地线 k i>-最近邻来进行可靠的标签预测
机译:使用标签传播的半监督距离度量学习预测阿尔茨海默氏病
机译:使用半监督学习和降维的软件缺陷预测
机译:Sluicebox:半监督学习,用于标签预测,概念演变以及在非平稳数据流中的跟踪。
机译:集成半监督的标签传播和基于多阿特拉斯的海马区隔的随机森林
机译:通过标签传播和Geodesic k i> - 在线半监督学习中的鲁棒标签预测