Because density function estimation is ill-posed problems, so we can use regularization technology to solve this problem. In this paper, to estimate the density function, I use T methods and P methods.
因为概率密度估计问题是一种随机不适定问题5,因此概率密度估计可以采用正则化技术来处理这一估计问题。
参考来源 - 基于支持向量机的概率密度估计·2,447,543篇论文数据，部分数据来源于NoteExpress
The mathematical solution for ill-posed problems is regularization. The computational foundation for deformable models is just regularization.
数学上解决病态问题的方法是正则化，可形变模型的计算基础即是正则化。
The resolution strategy for ill-posed inverse problems encountered in science and engineering researches is put forward, based on multi-objective optimization.
针对科学和工程研究中的病态逆问题，提出了基于多目标优化的求解方法。
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