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回归函数的英文

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"回归函数"怎么读用"回归函数"造句

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  • regression function

例句与用法

  • The weighted kernel estimators of nonparametricregression function with censored data
    截尾数据非参数回归函数加权核估计
  • Establishes of model of quasi - parabola regressive function model and parametric estimation
    伪抛物线回归函数模型的建立与参数估计
  • Exponential bounds of mean error for the kernel regreeion estimates with directional data
    方向数据回归函数核估计平均偏差的指数界
  • Weighted kernel estimator of nonparametric regression functions with censored data of sequences
    相依截尾数据非参数回归函数加权核估计
  • Convergence rate of the estimate of the regression function under martingale difference sequence
    误差为鞅差序列的回归函数估计的收敛速度
  • Estimators of penalized least square for parametric regression and vectors and spline function can be got by compiled program
    模拟计算表明,该方法适合于回归函数模型误差与测量系统误差的估计。
  • In this paper , we discuss the estimate of regression function in nonparametric regression model based on exponential integral martingale difference
    摘要本文研究了误差项是鞅差序列,且满足某种指数矩条件的非参数回归函数的估计。
  • The essence of the above estimating methods is local estimator or local smoothing technique . in general , the non - parametric regression function is . well estimated by the above methods when the covariable x is one dimension
    这些方法本质上讲都是局部估计或局部光滑,当回归变量x为一维变量时,非参数回归函数用这些方法一般都能得到很好的估计。
  • In the nonparametric regression the regression function is supposed to be from some function family , such as the smoothing functions . so the nonparametric regression needs few hypotheses and is very robust
    非参数回归一般假定回归函数属于某一个函数类,如常常假定回归函数是一个光滑的函数,因此非参数回归对模型的假设很少,最主要的优点就是模型具有稳健性。
  • Satisfactory results were obtained . by combining the traditional neural network method with the svr theory , this paper also addresses the problem of boundary value problems and replaces the neural network function with svr regression function
    此外,在本课题中,我们把传统的神经网络解边值问题的方法和svr理论相结合,用svr中的回归函数代替神经网络函数,对边值问题的求解进行了研究。
  • 更多例句:  1  2
用"回归函数"造句  

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