机译:基于Kullback-Leibler信息散度准则的参数可识别性
Department of Precision Instruments and Mechanology, Institute of Manufacturing Engineering, Tsinghua University, Beijing 100084, People's Republic of China;
State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, People's Republic of China;
Department of Precision Instruments and Mechanology, Institute of Manufacturing Engineering, Tsinghua University, Beijing 100084, People's Republic of China;
State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing 100084, People's Republic of China;
system identification; parameter estimation; Kullback-Leibler information divergence (KLID); Fisher's information matrix (FIM); consistency in probability;
机译:基于Kullback-Leibler散度的鲁棒参数设计
机译:基于Kullback-Leibler发散的强大参数设计
机译:使用Kullback-Leibler分歧的模型参数学习
机译:使用Kullback-Leibler散度的文本分类中特征选择的全局评估标准
机译:基于预期Kullback-Leibler散度的HIV 2-LTR临床试验信息优化实验设计
机译:基于对称Kullback-Leibler发散的超声图像去斑非局部总变化
机译:Choquet中的参数识别通过Kullback-Leibler分解在连续密度与分类融合中的连续密度