An introduction is Made of the method of using the weight of probability density function of error distribution law to conduct anti-error estimation.
文中主要介绍了利用误差分布律概率密度函数定权来进行抗差估计的一种方法。
This method USES kernel density estimation model to construct the approximate density function, and takes hill climbing strategy to extract clustering patterns.
该方法采用核密度估计模型来构造近似密度函数，利用爬山策略来提取聚类模式。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
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