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机译:PDFOS:针对不平衡的两类问题,基于PDF估计的过采样
School of Systems Engineering, University of Reading, Reading RG6 6AY, UK;
School of Systems Engineering, University of Reading, Reading RG6 6AY, UK;
Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK,Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK;
Electrical and Computer Engineering Department, Faculty of Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
Imbalanced classification; Probability density function based; over-sampling; Radial basis function classifier; Orthogonal forward selection; Particle swarm optimisation;
机译:基于密度峰值聚类与启发式滤波的自适应加权过度采样
机译:基于动态综合少数民族过采样技术的旋转森林用于高光谱数据不平衡分类
机译:改进的基于稀疏表示的过采样技术解决不平衡问题
机译:不平衡两类问题基于概率密度函数估计的过采样
机译:基于基准模型的基于约束的Cad系统之间的STEP,JT和PDF格式转换分析。
机译:基于集成神经网络和概率密度函数(PDF)对偶卡尔曼滤波器的传感器融合在线估计车辆参数和状态
机译:基于概率密度函数估计的不平衡两类问题的过采样