1) posterior risk [function]
后验风险[函数]
2) empirical risk function
经验风险函数
1.
For the learning process, a new kind of empirical risk function is proposed which is differentiable and can be minimized by gradient descent strategy.
对于参数的学习 ,提出了一种适用于分类器的可微经验风险函数 ,该函数能够有效地利用梯度下降法进行最小化 。
3) pretest risk function
验前风险函数
5) after-test risk
验后风险
1.
Classical risk,relative risk and after-test risk are usually used to measure test project in the course of making test project of reliability based on Bayes.
在利用贝叶斯方法制定可靠性试验方案过程中,通常会用到经典风险、相对风险和验后风险来权衡试验方案。
6) risk function
风险函数
1.
Bayes inference for the loss and risk function of scale parameter estimations;
尺度参数估计的损失函数和风险函数的Bayes推断
2.
The risk function of the quadratic estimate for the covariance matrix Σ under a matrix loss function;
矩阵损失下的协方差阵Σ的二次型估计的风险函数
3.
When the variance was known and the conjugate prior distribution was normal,a Bayes estimation of loss-function and risk function of logarithmic normal distribution was given.
方差已知时,给出共轭先验分布为正态分布下,对数正态分布的损失函数和风险函数的Bayes估计,得到其Bayes估计为保守估计的条件。
补充资料：后验
1.日后验证。
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