方法：通过不同制备方法莱菔子供试样品hplc图谱的比较和相似度计算，分析其成分群的变化规律。
Methods: By comparing HPLC maps of Semen Raphani samples prepared with different methods and computing similarity, (analysis) the change law of the components group.
在基于实例的机器翻译中，句子相似度计算是实例匹配的有效机制。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
提出一种快速的视频片段相似度计算模型。
An efficient similarity model of video clips was put forward.
语义相似度计算是信息处理技术中的一个关键问题。
Semantic similarity computation is a key problem of information processing technology.
本文提出一种以模式聚类为基础的病态样本判定方法，并给出基于模式相似度计算的投票剔除算法。
The author presented a method for morbid sample recognition that base mode clustering, paper proposed a eliminating algorithm of voting that base mode similarity calculating.
文中描述了两个概念之间相似度计算的一种方法。
Describes one method to compute the similarity between two concepts.
分类模型由属性模型集成得到，属性权重根据属性相似度计算。
Classification model is integrated by every attribute model, and attribute weight is calculated by attribute similarity.
对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
目的：探讨影响中药色谱指纹图谱相似度计算的保留时间校正和内标峰选择。
Objective:To discuss the selection of retention time and internal standard peak in similarity calculation for traditional Chinese medicines(TCM) fingerprints.
模板泛化时，引入词汇语义相似度计算和同义词扩展，提高模板覆盖率。
When generalizing patterns, semantic similarity of words and synonym extension are used to make the patterns more selective.
本文中对组块的计算，不仅包括组块分析，还涉及到对组块相似度计算的研究。
In this paper, the computation of chunks not only includes chunk parsing, but also refers to the computation of similarity between chunks.
据此提出利用改进的知网相似度计算的歧义消解策略。
The strategy we presented is the modified similarity computation from the HowNet for structure disambiguation.
基于属性的重心剖分模型是一种较为新颖的文档相似度计算模型，但容易导致语义信息丢失和效率低下。
Documents similarity computing with attribute barycenter coordinate model is a relatively new method, but the semantic information easily loss and is inefficient.
本文在词语相似度计算的基础上重点研究了中文信息处理中的句子相似度。
In this thesis, similarity computing was studied and the emphasis is sentences similarity computation based on word similarity computation.
该文分析和量化了影响本体语义相似度的各种因素，并提出了一种基于距离的概念语义相似度计算模型。
In this paper, factors that affect ontological semantic similarity are analyzed and quantified, and a distance-based semantic similarity calculation model for concepts is proposed.
用中药色谱指纹图谱相似度评价系统，对不同部位的HPLC色谱图进行相似度计算。
The similarity evaluation system for chromatographic fingerprint of TCM was used to calculate similar degree of the HPLC chromatogram of different parts.
对基于几何距离的概念相似度计算进行分析和改进，提出了基于本体和知网的问句间相似度计算模型。
Analyzing and improving the concept similarity calculating based on geometrical distance, a sentence similarity calculating model based on ontology and How-net is proposed.
论文针对传统的基于距离相似度计算的不足，提出了一种基于比例的相似度计算方法，并对此进行了讨论。
This paper introduces the flaw of traditional similarity based on distance, and discusses a computed method about similarity based on proportion.
双语术语相似度计算在跨语言信息检索等领域有重要的应用。
Bilingual terminology similarity is one of the focuses of research in the fields of Cross-language Information Retrieval and so on.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
并引入弱义原的概念，排除弱义原对词语相似度计算的干扰。
It also introduced concept about weak sememes and excluded such sememes' interference when they appeared in the computation of the word's similarity.
相关语句抽取部分的相似度计算使用了N元模型和向量空间模型。
In candidate sentences selection module, the methods we used to compute the similarity between sentences and query are N-gram modal and Vector Space modal.
无论在本体映射或本体进化中，基于属性的概念相似度计算都是本体论研究的关键内容。
No matter during the ontology mapping or the ontology evolution, the attribute-based concepts similarity computation is the key point of the ontology research.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
通过利用基于词频的权值计算，同时改进传统文本相似度计算概率模型，改进SVM算法实现邮件过滤系统。
We can use term frequency to have a weighted calculation and improve traditional text similarity calculation probability model in SVM algorithm.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
基于模板匹配的图像跟踪算法有三个关键环节，分别为图像特征表示、相似度计算和目标搜索算法。
There are mainly three key elements in model matching based image tracking method, which are representation of image features, similarity measure and target search method respectively.
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