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平均风险
相关语句
  average risk
     Decision-making of transaction risk control for cybermediary under average risk preference
     平均风险偏好下的网络中介交易风险控制决策
短句来源
     A novel approach for optimizing feed forward neural networks is proposed in this paper, the genetic algorithms is not based on the traditional criterion of minimum square error, however its fitness function is determined by the average risk.
     提出了一种基于最小平均风险准则的遗传算法优化设计前向神经网络的方法,遗传算法的适应度函数并不采用传统的均方误差准则,而是由平均风险准则所决定。
短句来源
     The beta coefficient is the measurement of Captical Asset Pricing Model's(CAPM) systematic risk. It reveals the difference between the risk of individual security(or portfolio) and the average risk of all securities in the market.
     Beta系数是资本资产定价模型(CAPM)系统风险的量化指标,它揭示了某种证券或者证券组合的风险与市场平均风险的差异.
短句来源
     The average risk of structure in construction period is far higher than one in use period. To make the risk analysis study is very necessary in the construction of large-span cable-stayed bridge.
     结构在施工期的平均风险远远高于使用期,开展大跨度斜拉桥施工期间的风险分析研究是十分必要的。
短句来源
     Average Risk Optimal
     平均风险最优化(英文)
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  “平均风险”译为未确定词的双语例句
     The Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed.
     另外还讨论了Bayes截尾SPRT方案的平均风险实际值、平均试验数及验前概率P_(H_0)的计算。
短句来源
     (2) Horizontal、Vertical and Conglomerate M&A’s total market risk raised then decline, they tend to be equal to the average value of market risk.
     (2)横向、纵向、混合并购总体市场风险并购前期先逐年上升,后期与市场平均风险值趋于一致,且三种类型之间无显著区别。
短句来源
     (3) Related transaction and non-related transaction M&A’s total market risk raised then decline, they tend to be equal to the average value of market risk.
     (3)关联与非关联并购总体市场风险并购前期先逐年上升,后期与市场平均风险值趋于一致,且二者之间无显著区别。
短句来源
     The Bayes cutting sequential probility ratio test (SPRT) method of Binomial distribution is dis- cussed. The principle of mean risk match ,that is α_π_0=β_π_0, is presented. So the method will be more reason- able.
     论述了二项分布的Bayes截尾序贯概率比检验(SPRT)方法,提出了平均风险相当的原则,即要求α_(π_0)=β_(π_1),从而使Bayes SPRT方法更趋合理,并且推导出了Bayes风险定理,指出了Bayes方法的应用价值。
短句来源
     At the beginning of this paper, we introduced two ways in which the risk function R(θδ) can be minimized in some overall sense; minimizing a weighted-average risk and minimizing the maximum risk. But now we shall consider the first of these approaches.
     在本文开始,先介绍从某种整体意义上风险函数R(θ,δ)可最小化的两种方法:即加权的平均风险最小化和最大风险最小化.本文只介绍第一种方法.
短句来源
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  相似匹配句对
     Average Risk Optimal
     平均风险最优化(英文)
短句来源
     Risk-Sensitive Reinforcement Learning Algorithms With Generalized Average Criterion
     风险敏感度激励学习的广义平均算法
短句来源
     For a sample of 38 sources we derive an average value of
     平均结果为
短句来源
     Risks exist impersonally.
     风险是客观存在的。
短句来源
     If you do nothing,the risk will come
     无为的风险
短句来源
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  average risk
It is concluded that the average risk of recurrence increases with the number of episodes in depressive and in bipolar affective disorders.
      
Because predisposing risk factors usually cluster, and the risk each imposes varies widely, global risk assessment is a necessity, especially now that average risk factor levels are recommended for treatment.
      
It is concluded that the average risk of recurrence increases with the number of episodes in depressive and in bipolar affective disorders.
      
I routinely screen persons at average risk using fecal occult blood tests or flexible sigmoidoscopy after the age of 50 years.
      
Observational studies conducted in the past two decades have suggested an average risk reduction of 50% for the primary prevention of CAD, these findings, however, have not been confirmed by recent randomized clinical trials (RCTs).
      
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In this paper, we give the asymptotic solution of a class of Bayesion deoision problems for a population with bounded, high dimensional density funotion, but density funotion unknown; and then point out the convergence on average risk of the asymptotic solutions.

本文给出了母体具有有界的高维密度函数且密度函数未知的贝叶斯判别问题的渐近解,指出了渐近解平均风险的收敛性。

The Bayes cutting sequential probility ratio test (SPRT) method of Binomial distribution is dis- cussed. The principle of mean risk match ,that is α_π_0=β_π_0, is presented. So the method will be more reason- able. The Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed. The process information and prior imformation can be fully utilized in the method, and the...

The Bayes cutting sequential probility ratio test (SPRT) method of Binomial distribution is dis- cussed. The principle of mean risk match ,that is α_π_0=β_π_0, is presented. So the method will be more reason- able. The Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed. The process information and prior imformation can be fully utilized in the method, and the method is applied to small sample test.

论述了二项分布的Bayes截尾序贯概率比检验(SPRT)方法,提出了平均风险相当的原则,即要求α_(π_0)=β_(π_1),从而使Bayes SPRT方法更趋合理,并且推导出了Bayes风险定理,指出了Bayes方法的应用价值。另外还讨论了Bayes截尾SPRT方案的平均风险实际值、平均试验数及验前概率P_(H_0)的计算。通过计算及分析可知,Bayes截尾SPRT方法能充分利用验前信息和过程信息,它适用于小子样场合,这对于昂贵的武器系统试验来说很有价值。本方法可应用于武器系统命中概率和飞行可靠性等的评定。

A novel approach for optimizing feed forward neural networks is proposed in this paper, the genetic algorithms is not based on the traditional criterion of minimized square error, however its fitness function is determined by the average risk. The method considered not only the errors between the network's outputs and the desired outputs, but also the risk caused by these errors, because the errors for different types of samples in training set may present different risks. The neural networks optimized...

A novel approach for optimizing feed forward neural networks is proposed in this paper, the genetic algorithms is not based on the traditional criterion of minimized square error, however its fitness function is determined by the average risk. The method considered not only the errors between the network's outputs and the desired outputs, but also the risk caused by these errors, because the errors for different types of samples in training set may present different risks. The neural networks optimized by the proposed approach shows good performance on the samples both inside and outside training set.

提出了一种基于平均风险误差准则的遗传算法优化设计前向神经网络的方法,遗传算法的适应度函数并不采用基于传统的最小均方误差准则,而是由最小平均风险误差准则所决定,这种方法在计算神经网络输出与期望输出之间误差的同时,还要考虑神经网络对每一类训练样本产生的这种误差所引起的风险损失.这种方法优化得到的神经网络不但可以准确地再现训练样本集合的期望输出,对训练样本集合外样本的预测能力也有明显的提高.

 
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