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likelihood function相关的网络例句

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与 likelihood function 相关的网络例句 [注:此内容来源于网络,仅供参考]

First, a non-parametric density estimate method based on kernel function is adopted to estimate the statistic distribution of the SAR images, and then, the SAR images is segmented with Markovian contexture by maximizing a MAP estimator, taking the former estimation as its likelihood term.

该算法首先采用基于核函数的非参数方法估计SAR图像的统计分布,然后将此统计量作为图像分割的似然函数,利用马尔可夫上下文约束进行SAR图像分割。

To obtain the likelihood function indicating the uncertainty of observed information, noisy data is firstly expressed by a set of data vectors instead of a single vector, and then transferred to probability density curve defined in model space through confidence value defined in data space.

我们将数据向量的概念扩展为数据向量的集合,通过引入数据空间内的信赖度,把数据噪声转移到模型空间的概率密度函数上,即获得了反映数据本身的不确定性的似然函数。

The likelihood function is derived according to the channel and signals' parameters character and classifier is constructed.

根据对未知信道和信号参数的不同处理方式,推导了用于识别的似然函数,并构造了分类器。

We will demonstrate the specification of reference prior distribution on the random covariance matrix. We will consider the approximate uniform shrinkage prior and approximate Jeffreys' prior. Both are formulated based on the approximated likelihood function. Under generalized linear mixed models, we show that the posterior mode under Jeffrey's prior is asymptotically closer to the REML estimate than the mode under uniform shrinkage prior does.

在广义线性混合模式下,我们证明了在样本数很大时,随机效应之变异数成份的后验众数和REML估计值会近似相等,同时也建立了后验众数和REML估计值的近似关系式,并提出了比较二种后验众数与REML估计值之间远近的准则。

Through this model, which could make full use of the given prior information as the constraints of maximum likelihood estimation and based on Lagrange function, the calculation problem of fault prior probabilities was transformed to non-constrained optimization problem.

该模型以相关的先验信息作为最大概率估计的约束条件,并通过拉格朗日函数,将故障先验概率估算问题转化成无约束优化问题。

To address the problem that the distribution feature of time series could not always be easily described due to its diversity, the likelihood function based on the asymmetric Laplace distribution was employed irrespective of the original distribution of the data.

针对时间序列分布特征多样性的问题,不考虑序列本身的分布特征而选择非对称Laplace分布的似然函数对模型进行贝叶斯分位回归分析。

In this algorithm, the likelihood function of particle filter in clutter is derived.

在该算法中,首先推导了杂波环境下粒子滤波的似然函数表达式。

The principle and evaluation index of PSO are discussed in detail, which is based on analyzing likelihood function of ARMA model.

在分析基于ARMA模型似然函数的基础上,详细分析了PSO的思想、方法和评价指标。

Target detection is finally achieved by likelihood function test in the original data space.

在原数据空间通过似然函数的检验完成多通道光谱图像的目标检测。

In this part,we give the description of the competing risk mixture model and the likelihood function with grouped data.3.Asymptotic properties of MLE.

这一部分我们给出了本文中竞争风险混合模型的描述及分组数据下的似然函数。

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