次类,subcategory英语短句,例句大全

次类,subcategory
1)subcategory[英]['s?b'k?tiɡ?ri][美][s?b'k?t?,ɡ?ri, -,ɡori, 's?b,k?t-]次类
1.The second factor is the transform of subcategory of N and thematic roles.在"却"向介词发展的过程中,致变因素首先是形容词出现在"却"的前面,其次是N的次类和论元角色变换。
2)stratification classification层次类型

英文短句/例句

1.Classification on Dual Type of Coal Bed Methane Basin in China Mainland中国大陆煤层气盆地双层次类型划分
2.Segmentation of Cigarette Consumer’s Demands and Construction of Differentiated Marketing Strategy;卷烟消费者需求层次类型及差异化营销策略构建
3.Log this event type at the maximum detail level.将该事件类型用最高详细层次记录。
4."Set the logging detail level for the selected event type."为选定的事件类型设置记录详细层次。
5."Log this event type at the minimum detail level."将该事件类型用最低详细层次记录。
6.Log this event type at a medium detail level.将该事件类型用中间详细层次记录。
7.The goals, types, levels and structure of innovative makings education;创新素质教育的目标、类型、层次与结构
8.A selection model for optimal fuzzy clustering based on hierarchical analytic process基于层次分析法的模糊分类优选模型
9.Hierarchical clustering algorithm based on cover rough set model基于覆盖粗糙集模型的层次聚类算法
10.Dealing with mixed type data by hierarchical clustering algorithm一种处理混合型数据的层次聚类算法
11.The Rank and Type of Universities and the Ecological Groups of the Journals;高校层次、类型与高校学术期刊生态群落
12.The Devoicing Styles and the Historiacal Strata of MC Voiced Initials in Shanxi Dialects and its Neighboring Dialects;山西及其周边方言浊声母清化类型及历史层次
13.Hierarchical Co-Clustering Algorithms and the Model Selection Technique层次式协同聚类算法及模型选择技术研究
14.The Research on Classification and Motivation of Knowledge Workers企业知识型员工的层次分类及其激励模式研究
15.An Adaptive Hierarchical Model Based on Fusion of Ontology and Context一种融合本体和上下文的自适应层次分类模型
16.Investigation of Concept Hierarchy Classification Based on the Model of Fuzzy Statistical Analysis基于模糊统计分析模型的概念层次分类研究
17.A hierarchical model of optimization selection is built through analysis of multi-influence factors to seepage control type selection.通过对防渗类型选择的众多因素进行分析,建立了层次优选模型。
18.Secondly, it examines hierarchically not only the different types of behaviors of deviance but also the seriousness and the scale of each type.其次,分层次研究不同类型的越轨行为表现,考察各类越轨的严重程度和影响范围;

相关短句/例句

stratification classification层次类型
3)hierarchical clustering层次聚类
1.Small targets detection based on hierarchical clustering;基于层次聚类的弱小目标检测算法
2.A new hierarchical clustering algorithm based on tree edit distance;基于树编辑距离的层次聚类算法
3.Combined unsupervised image segmentation using watershed and hierarchical clustering with MRF;分水岭算法和基于MRF的层次聚类相结合的混合无监督图像分割算法
4)secondary classification二次分类
1.This paper presental a secondary classification method based on 1-a-1 SVM classification algorithm after a general overview of typical methods for a multiclass SVM.总结了现有的主要的支持向量机多类分类算法,并在1-a-1SVM分类算法基础上提出一种二次分类的方法。
2.Thus a modified classification method of multi-class SVM is proposed, and a secondary classification based on OAO-SVU classification is implemented, thus improving the mixing degree between among the classes with multiple erroneously-classified samples.提出一种改进的多类支持向量机分类方法,在OAO-SVM分类结果的基础上进行二次分类,以改善错分样本较多的类别之间的混淆程度。
5)taxonomy hierarchy分类层次
1.Distributed data sources which employ taxonomy hierarchy to describe the contents of their objects are considered,and a super-peer-based semantic overlay network(SSON) is proposed for sharing and searching their data objects.针对使用分类层次来描述数据语义的分布式数据源,提出了一种支持数据共享的基于super-peer的语义覆盖网络SSON。
2.Therefore,a taxonomy hierarchy based P2P network(TBSN)is presented in this paper,which fully considers the characteristics of data sources employing taxonomy hierarchy to describe the conten.现有的基于分类层次的P2P语义覆盖网络并不能充分利用分类层次所包含的语义信息,为此提出了一种基于分类层次的P2P网络(TBSN),该网络充分考虑遵循某种分类层次的数据源的特点,能够利用分类层次所包含的语义信息,动态地将peer节点聚簇成不同的语义簇,语义簇之间根据语义关系建立相应的语义路由,从而形成了一种基于语义的P2P网络。
3.However,existing semantic clustering approaches based on the taxonomy hierarchy take little account of load balancing problem among clusters,which inevitably compromise network performance.然而现有的基于分类层次的语义分簇方法较少考虑簇之间的负载平衡问题,这必然会影响网络的性能。
6)hierarchical cluster层次聚类
1.Based on the multi-dimensional approximate periodic pattern, we present an algorithm to mine multi-dimensional temporal approximate periodicity with the algorithm of hierarchical cluster, then applies to the stock data.在多维时态近似周期模型的基础上,提出了一种基于时态数据库技术和层次聚类技术的多维时态近似周期挖掘算法,并应用于股票数据。
2.An equivalence relation ≡HCov is proposed based on the Data Cube s semantics and the dimension s hierarchy of its pattern, and then on the basis of the equivalence relation, proceeds the data cube to hierarchical cluster.在DataCube语义特性及模式中维的层次性基础上提出了多维数据之间的等价关系≡HCov,对DataCube进行层次聚类·该方法的优点在于用等价类的方法保存了所有聚集记录,同时定义了等价类之间的关系,以保存聚集记录之间的层次信息·理论分析和实验证明,该方法不但节省了存储空间,而且利用聚类信息及层次信息,可高效的进行各种OLAP查询,以及支持多维数据上的上钻下钻、旋转等Cube语义操作·同时,为OLAP查询导航、OLAP查询行为分析的实现提供了可能
3.The result, normally overpredicted by traditional Environment Envelope Model, is improved by using hierarchical cluster arith- metic that can reduce the influence caused by outliers.在这一系统中,通过层次聚类算法对物种已知分布点数据进行处理,减少了异常值对预测结果的影响,从而解决了环境包络模型预测结果过于乐观的问题,在物种已知分布数据较少时也能取得较好的结果。