• Target estimator credibility theory balanced loss function.

    目标估计信度原理平衡损失函数。

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  • In practice, off-the-shelf loss function rarely aligns with the business objective.

    实际上,现有损失函数很少符合业务目标。

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  • The asymmetry of loss function consists of contractual asymmetry and non-contractual asymmetry.

    损失函数的不对称包括契约性的和非契约性的。

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  • Many practitioners train and pick the best model using the default loss function (e. g., squared error).

    许多实践者使用缺省损失函数(如,均方误差)训练和挑选最好的模型。

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  • The basic purpose of a quality loss function is to evaluate a loss to customers in a quantitative manner.

    质量损失函数的基本目的就是以定量的方式评价低质量对顾客造成的损失。

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  • The pollution loss function is used to determine the weight of environmental factor at environment assessment.

    使用污染损失率函数作为评价因子权重函数,并运用到模糊评价模型中,计算环境因子权重。

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  • In the Taguchi quality loss function, the loss exists not only in unqualified products, but also in qualified products.

    田口质量损失函数中的质量损失不仅仅存在于不合格品中,同样也存在于合格品中。

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  • The complete form of loss function for the additional propulsion energy of ships during course-keeping mode has been derived.

    本文得出了船舶航向保持的附加推进能量损耗目标函数的完整形式。

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  • Based on prestress loss theory, a simplified analytic algorithm of virtual frictional loss function was set up in a universal way.

    基于预应力损失理论,建立了具有普遍意义的拟摩阻损失函数简化解析算法。

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  • The admissibility of non-homogeneous quadratic form estimate of variance on the growth curve model was studied under quadratic loss function.

    在二次损失函数下,研究了增长曲线模型误差方差的非齐次二次型估计的可容许性问题。

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  • We investigate the admissibility of the linear estimate of random regression coefficients under a matrix loss function in general growth curve models.

    本文在矩阵损失下研究了一般增长曲线模型中随机回归系数线性估计的可容许性。

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  • The Minimax admissibility of linear estimates with respect to restricted multivariate regression coefficient under matrix loss function is considered.

    本文研究了带有不等式约束的生长曲线模型中线性估计的容许性与泛容许性问题。

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  • The fuzzy judgment support vector machine algorithm based on loss function is proposed, and compared with fuzzy sample support vector machine algorithm.

    提出了基于损失函数的模糊判决支持向量机算法,并与模糊样本支持向量机算法进行了比较。

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  • It's proved that using the above asymmetric loss function, Taguchi's ideas of parameter design still works: first reduce the variance, and then reduce the bias.

    说明了在非对称的二次损失函数下,也可以采用田口玄一减小质量损失的思想:先进行稳健性设计减小波动,再进行灵敏度设计减小偏差。

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  • The inverted probability loss function is used to examine the process of filling bottles with a liquid, as a result, the best setting of control center is found.

    利用逆概率损失函数,以瓶装饮料的灌装过程为实例进行分析和例证,找到了控制中心的最佳定位。

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  • The calculation results of the energy loss function and effective electronic density indicate that there are only few electrons taking part in the interband transition.

    能量损失谱和有效电子密度的计算结果表明只有很少的价电子参与了带间跃迁。

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  • First, we obtain the empirical Bayesian estimator of the scale parameter for the double exponential distribution based on LINEX loss function and the convergence rate of the estimate.

    首先利用非对称的LINEX损失函数对双指数分布族刻度参数进行了经验贝叶斯估计,并讨论了该估计的性质,给出了收敛速度。

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  • A barycenter model of group decision making on resource allocation is constructed in this paper using groups loss function based on the additive kind of group cardinal utility function.

    根据群体基数效用函数的加和性,用距离表示群体的损失函数,建立了资源分配群体决策的重心模型。

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  • A barycenter model of group decision making on resource allocation is constructed in this paper using group's loss function based on the additive form of group cardinal utility function.

    根据群体基数效用函数的加和性,用距离表示群体的损失函数,建立了资源分配群体决策的重心模型。

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  • Abstract: Under the matrix loss function, the necessary and sufficient conditions of linear admissible estimates of nonestimatible parameter functions for a general linear model are obtained.

    文摘:一般线性模型可估函数的可容许估计问题已有详细的讨论。对一般线性模型在矩阵损失下,得到了不可估函数的线性估计为可容许估计的充要条件。

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  • In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

    然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。

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  • In combination with the Bayes estimator for the parameter of linear exponential model under the same loss function, the nonparametric empirical Bayes estimator of the unknown parameter was obtained.

    然后结合线性指数模型未知参数在相同损失函数之下的贝叶斯估计得到了未知参数的非参数经验贝叶斯估计。

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