Density estimation over data stream plays an important role in many data streams decision support systems.
密度估计在许多流数据决策系统中都有重要的意义。
参考来源 - 流数据密度估计 in CWe derived learning rates for the least-square regression and density estimation on bounded domains under some decay conditions near the boundary on the marginal distribution of the probability measure for sampling.
当边缘分布函数在采样的定义域附近满足一定的衰减性条件,我们给出了最小平方形式下的回归函数和密度估计函数的学习率。
参考来源 - 高阶parzen Windows及随机采样·2,447,543篇论文数据,部分数据来源于NoteExpress
Crowd density estimation is very important to building designs and crowd safety.
人群的密度估计对于建筑物的设计和人群安全至关重要。
A novel PNN model with training algorithms is proposed for class conditional density estimation.
提出了一种新的类条件密度函数估计的PNN模型及其算法。
Infrared objects are represented by the intensity distribution, which is defined by the kernel-based density estimation.
红外目标的描述利用目标区域的灰度分布,该灰度分布通过核概率密度估计建立。
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