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机译:基于风险的最近邻分类自适应度量学习
Department of Electronic Engineering, Tsinghua University, Beijing 10084, PR China,Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing 10084, PR China;
Department of Electronic Engineering, Tsinghua University, Beijing 10084, PR China,Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing 10084, PR China;
Department of Electronic Engineering, Tsinghua University, Beijing 10084, PR China,Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing 10084, PR China;
Department of Electronic Engineering, Tsinghua University, Beijing 10084, PR China,Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing 10084, PR China;
Department of Electronic Engineering, Tsinghua University, Beijing 10084, PR China,Tsinghua National Laboratory for Information Science and Technology (TNList), Beijing 10084, PR China;
Nearest neighbour; Metric learning; LOOCV risk; Non-parametric; Classification;
机译:使用基于最佳接近度量的插值,最近邻分类和基于聚类的插值方法估算降水数据不足
机译:用于近邻分类改进的BOX-COX指标
机译:最近邻方法中的自适应指标
机译:基于遗传规划的最近邻分类自适应距离度量
机译:使用支持向量机,Random Forest,DualKS和k-Nearest邻居对前列腺癌数据进行比较分类。
机译:爱你的邻居:使用K最近邻居算法对加速度数据进行自动动物行为分类
机译:在分层最近邻估计,袋装最近邻估计和回归分析和分类的随机森林方法中