1) probabilistic estimated value
概率估计值
1.
A new support vector machine based on sample probabilistic estimated value is presented in this paper.
提出一个新的基于样本点概率估计的支持向量机,通过定义相应样本数据点的概率估计值,以及相应的数据样本点到超平面的距离,来形成新的线性和非线性情况下的支持向量机。
2) numerical estimate of probability
概率的数值估计
3) Probability estimation
概率估计
1.
In this approach, the methods of probability estimation and star model are used to evaluate the routing of nets.
这个方法用概率估计模型和星型模型来评价线网的走线 。
2.
The results showed that post probability estimation was significantly lower under low base-rate conditions than that under high base-rate conditions;RT was remarkably shorter under no-base-rate conditions than that under base-rate conditions.
结果表明,低基础概率组后验概率估计显著低,无基础概率组后验概率估计反应时显著短于有基础概率组。
3.
The results showed:(1) The probability estimation was significantly lower for passive events than active events when the events in the tasks were related to the subjects;it showed no significant difference between the two conditions when the events were not related to the subjects.
用贝叶斯推理问题为实验材料,探讨了主体关联性对贝叶斯推理概率估计的影响。
4) probability estimate
概率估计
1.
After studying each state respectively,we can get three kinds of the different probability estimate formulae.
本文对收益率序列存在相关性、收益率是多元随机变量情况下的尾概率估计问题也进行了分析。
6) inequality of the tail probability
尾概率估计
1.
The estimate inequality of the tail probability is very useful in the discussion of the character of a Wiener Process.
本文将给出了这类不等式的一个推广，并进一步扩充到了二维维纳过程的尾概率估计，期望可以进一步讨论关于Wiener过程的增量。
补充资料：插值估计法
插值估计法是根据统计资料中若干已知项目的对应关系资料来推算未知项目的对应关系的数值。有内插法、线性插值法和拉格朗日插值法等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条