1) minimum posterior risk
最小后验风险
1.
Under the type-II censoring test,making use of decision theory,fully utilizing the prior information of product,considering experimental expense and times,and combining the loss function,the decision-making scheme of minimum posterior risk for Pareto distribution is worked out.
考虑试验费用和试验时间,并结合损失函数,对分布制定了最小后验风险决策方案。
2.
This paper puts forward minimum posterior risk to choose the superior failure distribution of products based on of Bayesian decision,and then resolves the problem about how to draw up the optimal distribution model from Multi-model,especially,the method is uniform,the standard is consistent and the operation is simple compared with the traditional hypothesis test.
提出了采用Bayes决策的最小后验风险准则,来解决产品故障分布的最优拟合问题,解决了从众多的产品故障分布模型中提取最优拟合分布的难题。
2) rule of minimum posterior risk
最小后验风险准则
1.
Let G_0 and G_1 be two populations having logarithmic normal distribution with parameters(μ_0,σ) and(μ_1,σ) for the life data in an experiment,the Bayesian methods of the classification problem are given in this paper according to the rule of minimum posterior risk,and a new rule is provided for the life classification.
基于寿命数据X、最小后验风险准则,给出了相应的判别分析问题的Bayes判别方法,为寿命判别制定了一个操作简便的规则。
2.
μ=μ_1(μ_1>μ_0>0) are given in this paper according to the rule of minimum posterior risk,and a new rule is provided for the life classification.
本文依据最小后验风险准则,给出了上述问题的Bayes判决方法,为寿命判别制定了一个简便操作的规则。
3) maximum posterior risk
最大后验风险
1.
Hierarchical Bayesian method on the basis of maximum posterior risk;
基于最大后验风险的多层Bayes方法
2.
This paper gives a Bayesian plan of qualification test for production in binomial case by the reliability growth model, and the maximum posterior risk criterion for the Bayesian qualification test is proposed.
提出了Bayes鉴定试验的最大后验风险准则,利用这种准则制定的鉴定试验方案综合了产品研制过程中的先验信息。
3.
A plan of reliability qualification test for protecting the benefits of user is formulated by using Bayesian method in the view of maximum posterior risk.
在确保使用方利益的前提下 ,从最大后验风险的角度运用贝叶斯方法制定了可靠性鉴定试验方案。
4) empirical risk minimization
经验风险最小化
1.
The empirical risk minimization and the structural risk minimization in machine learning are analyzed.
介绍机器学习的表示方式,分析和比较机器学习中经验风险最小化原则和结构风险最小化原则,引出用于回归估计的支持向量机,并用数学方式阐述其基本思想,讨论支持向量机技术发展中存在的主要问题。
补充资料：最小辐亮度与最小辐照度(见核爆炸火球)
最小辐亮度与最小辐照度(见核爆炸火球)
minimum-brightness and minimum-irradiance
zuixiao fuliangdu yu zuixiaofu乙haodu最小辐亮度与最小辐照度(minimum-brightness and而nimum一irradianee)见核爆炸火球。
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