损失函数

词组短语

loss function

与损失函数相关的网络例句 [注：此内容来源于网络，仅供参考]

It is proved that the least squareestimators of linear estimable functions of regression coefficients areadmissible under matrix loss and minimax. The necessary and sufficientexistence conditions are derived for the uniformly minimum riskequivariant estimators of linear estimable functions ofregression coefficients under an affine group and a transitive group oftransformations respectively. It is also proved that there are no UMREestimators ofthe covariance matrix and variance under an affine groupof transformations and quadratic loss functions.

本文证明了回归系数的线性可估函数的最小二乘估计是极小极大的且在矩阵损失函数下是可容许的；还分别在仿射变换群和平移群下导出了存在回归系数的线性可估函数的一致最小风险同变估计的充要条件，并证明了在仿射变换和二次损失下不存在协方差阵和方差的 UMRE 估计。

The example are also given to show that the two Expect Bayes estimation formula are both steady and the precision of Expect Bayes estimation of the reliability for geometric distribution under the entropy loss function is higher than that of the square loss function.

通过实例验证，在熵损失函数下计算出的几何分布可靠度的多层Bayes估计是稳健的，并进一步表明在熵损失函数下计算出的几何分布可靠度的多层Bayes估计值比其在平方损失函数下算出的结果精度更高。

Finishing calculation of mean value, standard deviation, skewness, kurtosis of Beta distribution.(2) Fitting parameters of many kinds of typical distribution and using residual deviation to evaluate fitting precision.(3) Using Beta distribution as an agreed indication distribution applied to many kinds of practical photoelectric measurement distributions.(4) Deriving theory formula of Bayes point estimation about Beta distribution parameters and mean value and standard deviation on the condition of mean square error loss function and supposed the prior distribution is uniform distribution.(5) Generating MCMC sample from post distribution by the method of Gibbs sample algorithm. Calculating bayes point estimation from sample on the condition of mean square error loss function. Calculating confidence interval by an approximate method to complete interval estimation.

本文的主要工作有：(1)解决了Beta分布参数a和b的精确计算以及均值、标准差、偏度、峰度的计算问题；(2)拟合出10余种典型分布的Beta分布的两个参数，并且采用剩余标准差评价该Beta分布的拟合精度；(3)对多种典型的光学与光电测量系统的测量分布进行了Beta分布统示表示；(4)在假设先验分布为均匀分布前提下，得到参数a和b以及均值μ和标准差σ在均方误差损失函数下的贝叶斯点估计理论计算公式；(5)利用直接抽样的Gibbs抽样算法，从后验分布中产生MCMC样本，从样本直接计算均方误差损失函数下的贝叶斯点估计，并使用一种近似方法计算其置信区间，完成区间估计。

This paper discusses the defect of quadratic loss function and studies the models of inverted Normal and inverted Gamma loss function.

本文讨论了二次损失函数模型的局限，在此基础上研究了逆正态、逆伽玛损失函数模型；探讨了质量损失函数与信噪比的关系，提出了基于信噪比的多元质量损失函数模型，克服了单质量属性不能反映实际中多维质量属性的质量损失的弊端，实例证明该方法是可行的。

The third aspect: we consider comparison of Minimum Norm Quadratic Unbiased Estimator and ordinary least squares estimator of in the multivariate normal linear model Y ~ N{XB, V, where the design matrix A' need not have full rank and the dispersion matrix V can be singular.

使用的损失函数有二次损失函数、嫡损失函数和对称损失函数。论文基于以下三个准则：二次损失风险准则、嫡损失风险准则和对称损失风险准则，将MINQUE和LSE进行比较。

Finally, Bayesian methods for sample size calculation under 0~1 loss function and quadratic loss function were considered.

最后考虑了0-1损失函数和平方损失函数下计算样本容量的Bayes方法。

In the model, the non-sensitive loss function was replaced by quadratic loss function and the inequality constraints were replaced by equality constraints.

在该模型中，用二次损失函数取代支持向量机中的不敏感损失函数，将不等式约束条件变为等式约束，从而将二次规划问题转换为线性方程组的求解，并提出对核函数的盯参数进行动态选取。

The non-sensitive loss function is replaced by quadratic loss function and the inequality constraints are replaced by equality constraints. Consequently, quadratic programming problem is simplified as the problem of solving linear equation groups.

用二次损失函数取代支持向量机中的不敏感损失函数，将不等式约束条件变为等式约束，从而将二次规划问题转变为线性方程组的求解。

We can find the exact credibility estimator of risk premium under the symmetric loss function.

本文引入了对称损失函数，并求得基于该损失函数的确切可信性估计。

Based on the above-mentioned parameter, according to the relationship between robust estimation and nonlinear diffusion, the Turkey loss function is introduced as the diffusion function in SAR image decomposition because of its better performance, and the contour of an image is extracted by the Turkey diffusion function with the proposed diffusion parameter mentioned above. The experiment results indicate that the Turkey loss function based diffusion process can strengthen the conspicuous contour. Additionally, a Raita\'s criterion-based method, solving the automatic diffusion threshold, is proposed to automatically set the threshold in diffusion decomposition.

针对基于梯度参数和局域方差系数的扩散在对SAR图像进行分解时存在的缺陷，提出了一种局域方差系数与窗口幅度均值积的扩散系数，该系数能够更有效地实现潜在目标区域和背景区域的区分；在此基础上，根据鲁棒估计与非线性扩散的联系，引入扩散效果更好的Turkey损失函数作为图像分解中的扩散函数，并结合局域方差系数与窗口幅度均值积的扩散参数来提取图像的轮廓，结果表明：基于Turkey损失函数的扩散过程对特征突出的边缘所起的&强化作用&更加明显；此外，针对扩散分解中的阈值确定问题，提出了一种基于拉依达准则的扩散阈值自动求解方法，实现了扩散阈值的自动求解。

与损失函数相关的网络解释 [注：此内容来源于网络，仅供参考]

loss function：损失函数

文章摘要 摘要 已有的一些判别训练(discriminative training)方法如Boosting[1]为了提高算法的效率,要求损失函数(loss function)是可以求导的,这样的损失函数无法体现最直接的优化目标.而根据最直接优化目标定义的损失函数通常是不可导的阶梯函数的形式.为了解决上述问题,

loss function：损耗函数,损失函数

loss from tobacco disease 烟草病害所造成的损失 | loss function 损耗函数,损失函数 | loss in energy 能量损失

Quadratic loss function：二次损失

核函数:Quadratic Programming | 二次损失:Quadratic loss function | 二次规划:Quadratic Program

Quadratic loss function：二次损失函数

二次内插法 quadratic interpolation | 二次损失函数 quadratic loss function | 二次平均数 quadratic mean

Quadratic loss function：平方损失函数

平方收敛速率|quadratic convergence rate | 平方损失函数|quadratic loss function | 平衡测度|equilibrium measure

Quality loss function：质量损失函数

Quality house 质量屋 | Quality loss function 质量损失函数 | Randomized 随机化

macroeconomic loss function：宏观经济损失函数

macroeconomic financial activities 宏观范围的财务活动 | macroeconomic loss function 宏观经济损失函数 | macroeconomic management 宏观经济管理

loss system：损失系统

loss function 损失函数 | loss system 损失系统 | lot 一批

Lost function：损失函数

Lognormal distribution, 对数正态分布 | Lost function, 损失函数 | Low correlation, 低度相关

Quadratic Objective Function：二次函数

二次损失:quadratic loss function | 二次函数:Quadratic Objective Function | 亚纯函数:quadratic system