Sequential analysis USES statistical modeling to detect patterns in data.
顺序分析使用统计建模来检测数据中的模式。
It USES a finite context statistical modeling technique that blends together several fixed-order context models to predict the next character in the input sequence.
它使用有限的上下文统计建模技术，混合了多个顺序固定的上下文模型，预测输入序列中的下一个字符。
Although statistical modeling could control for these measured baseline differences, the potential for confounding by unmeasured variables existed.
虽然应用统计模型能控制这些基线评估上的差异，但仍然存在一些无法测定的变量导致潜在的混杂。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
为了获得最好的模型性能，挑选做出最合适假设的建模算法—而不只是选择你最熟悉那个算法，是很重要的。
Hence we derive the expression of fitting function and propose a new Q-value inversion method using non - linear parameter statistical modeling of seismic records.
为此我们导出了拟合函数表达式，提出用非线性参数统计模拟地震记录的方法反演q值。
In statistical modeling, there are various algorithms to build a classifier, and each algorithm makes a different set of assumptions about the data.
在统计建模中，有很多分类器构建算法，每个算法构造一组不同的关于数据的假设集合。
Variable selection in statistical modeling process is an extremely important issue, but there are some drawbacks in the traditional variable selection methods,.
变量选择在统计建模过程中是极其重要的问题，但传统的变量选择方法却存在一些不足。
Conclusions: Structural Equation modeling is a powerful statistical modeling technique by which the relationship between the IAD and social psychological factors was well explained.
结论：结构方程模型较好地拟合了社会心理因素对中学生网络成瘾发生的影响作用。
The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
研究了人脸检测的贝叶斯特征判别法，该方法包括三个部分：原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
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