您要查找的是不是：
- maximum likelihood eslimation 最大似然估计算法
- The second goal is the estimation method of maximum likelihood. 第二个目标是最大似然的估计方法。
- And then the model parameters are estimated by means of MLE (maximum likelihood estimation). 其次运用极大似然估计方法对模型的参数进行标定。
- The result showed that the maximum likelihood algorithm possesses higher stability and suitability on the random measured noise. 结果表明极大似然算法对随机测量噪声具有更高的稳定性和适应性。
- Empirical Bayes estimation (EBE) and maximum likelihood estimation (MLE) of reliability index are given, respectively. 分别给出了系统可靠性指标的经验 Bayes 估计,极大似然估计。
- Maximum likelihood classifier (MLC) is the most used and effective classification method. 最大似然法分是常规遥感图像最常用、最有效的分类方法。
- In this paper, the maximum likelihood esti mati on and Bayesian estimation of parameter N are obtained. 本文推导出了 N的极大似然估计 Bayes估计 .
- The maximum likelihood estimates (MLEs) of the model are computed with the EM algorithm. 本文将其中一个扰动变量视为缺失数据，利用EM算法得到模型参数的极大似然估计。
- Parameters of AR PSD Model can be obtained by maximum likelihood estimate (MLE). AR模型参数估计可以使用最大似然估计法(MLE)；
- An alternative criterion is to minimise the generalised maximum likelihood (GML) developed by Wahba (1985,1990). 另一标准是Wahba(1985,1990)发展的最小广义最大似然法。
- Permutation configurations are optimized while jointly modeling many images via maximum likelihood. 通过极大似然方法可以对多图像的置换(矩阵)进行优化。
- An improved maximum likelihood estimation method named AMLE was proposed in this paper. 其根本原因是没有考虑每个点对固有维数的不同贡献。
- This paper utilizes the maximum likelihood to estimate the parameters of the choice model. 利用最大似然法，对模型的上下选择层的参数进行估计。
- At last, transporter restarder fatigue curve based on maximum likelihood method was validate by tseting data. 最后,通过输送机疲劳试验的实测结果对疲劳曲线的标定方法进行了验证。
- The distribution parameters have been estimated with either the maximum likelihood method or a modified moment method. 对其中的参数分别用极大似然法和改进的矩法进行了估计。
- Zuoying Wang, Feng Liu, “Speaker Adaptation Using Maximum Likelihood Model Interpolation”, ASRU, 1999. 陈科旭，”使用右文相关声韵母模式之国语关键词辨认”，国立交通大学硕士论文，2000
- Isotonic Regression,order restriction,restricted maximum likelihood estimate,iteration method,constraint optimization. 01保序回归,半序约束,约束最大似然估计,迭代方法,约束最优化
- The optimum detection based on the maximum likelihood is realized through the parameter estimation of two kinds of image block DCT coefficients. 该方法利用DCT变换中图像块低频能量的差异将DCT系数划分成平滑和纹理两类;并分别对这两类数据进行参数估计以实现基于最大似然比的最优检测.
- Using Cram?r some techniques,obtained the result on moderate deviations for the maximum likelihood estimators under random censorship. 在一些正则性条件下、利用Cram?r方法的某些技巧得到了在随机删失数据下极大似然估计的中偏差.
- One is solving the QPSK NDA maximum likelihood equation by gradient approximation, which has better convergence performance than other methods. 一种是基于NDA(Non-Data-Aided)最大似然估计的梯度迭代求解方法,这种方法与其它迭代方法相比,具有更好的收敛性能。
