描述性统计和对数线性模型用来识别与自费分娩费用相关的因素。
Descriptive statistics and log-linear models were used to identify factors associated with out-of-pocket expenditure on delivery.
本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。
A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.
该算法结合统计语言模型和中文构词规则等信息，能有效识别中文姓名。
The algorithm integrated statistic model and semantic rules is able to recognize Chinese person names effectively.
之后，用基于词性的三元边界统计模型和规则相结合的方法识别其它未处理的介词短语。
Secondly the algorithm integrates a statistical model based on part-of-speech and rules to identify the prepositional phrases that haven't been tackled in the first step.
基于北京的统计与调研数据，利用不确定性分析手段对该模型进行了参数识别与检验。
Based on the statistical and survey data of Beijing, the parameter distinguishing and the test of the model was carried out by utilizing uncertainty analysis.
在本文中，我们提出了一种统一的统计语言模型方法用来汉语自动分词和中文命名实体识别，这种方法对基于词的三元语言模型进行了很好的扩展。
In this paper, we extend a word-based trigram modeling to Chinese word segmentation and Chinese named entity recognition, by proposing a unified approach to SLM.
阐述了基于统计的SVM(支持向量机)模型的汉语句子组块识别。
The system USES a statistical-based model based on SVM (Support Vector Machine) to recognize chunks from Chinese sentences.
本文提供了一种用于识别这类随机信号的数学统计模型，并介绍了一种时间平均法用来获取超声背散射信号的衰减系数。
In this paper, a mathematical model is used to characterize this random signals, and a time averaging method is used for obtaining the ultrasonic attenuation coefficient.
根据模仿人类视觉模型，基于文字图像的统计模式识别方法是文字识别取得瞩目进展的基础。
Based on the theory of Visual thinking of human, more excellent progresses for Chinese character recognition have been achieved by the statistical pattern recognition method on the character image.
与统计模式识别模型比较，灰色模式识别具有计算简便、适应范围广的特点。
As far as this research was concerned, the grey relational analysis was superior to the statistical pattern recognition in its simplicity, rapidity and correctness.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
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