• UML uses a special name for these types: "classifiers."

    UML为这些类型起了一个特别的名字:“分类器”。

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  • When you click classifier, a list of available classifiers appears.

    当您单击Classifier时,将出现可用的分类器列表。

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  • Adds an association among three or more classifiers to your Static Structure diagram.

    将三个或更多分类器之间的关联添加到静态结构图中。

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  • If you don't use classifiers for example, you can uncheck the box, removing that TAB from view.

    例如,如果不使用分类器,可以取消选中对应的复选框,从而在视图中删除该选项卡。

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  • But in some cases, beyond classifiers like age and race, it can be hard to come up with an accurate depiction.

    但有些时候除了年龄和种族等特点,很难得到一个精确的描述。

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  • The lexical extensional patterns of appearance classifiers.

    形状量词的语义引申方式。

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  • Fuzzy integral is a valid algorithm for combining classifiers.

    模糊积分是一种多分类器联合算法。

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  • A model of rough fuzzy neural network classifiers is proposed.

    提出了一种粗糙模糊神经网络分类器的模型。

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  • The cascade consists of 17 weak classifiers, each concentrating on one feature.

    级联分类器由17个弱分类器串联组成,其中每个弱分类器关注一个特征。

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  • One of the characteristics of Chinese language is its colorfulness in classifiers.

    具有丰富多彩的量词是汉语的特色之一。

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  • It is proposed that different types of classifiers serve different stylistic functions.

    指出不同类型的量词具有不同的语体功能。

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  • A classifiers ensemble approach based on Principal Component Analysis (PCA) was proposed.

    设计了一种基于主成分分析的分类器集成方法。

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  • The reduplication of Chinese classifiers depends on both meaning and number of syllables.

    量词重叠属构形重叠,要受到来自语义和音节数目的限制。

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  • In Mandarin Chinese, event classifier is an important component of the system of classifiers.

    事件量词是汉语量词系统中的重要组成部分。

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  • According to the principle of from meaning to form, 129 classifiers are defined as collective classifier.

    根据“从意义出发,找形式验证”的原则,共有129个量词被确定为集合量词。

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  • The combination of multiple classifiers is one of the effective ways to improve the recognition performance.

    多分类器组合是提高识别效果的一条有效途径。

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  • You can create your own classifiers, which enables you to organize your swimlanes based on any attribute you may define.

    可以创建自己的分类器,从而基于所定义的任意属性组织泳道图。

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  • The template mechanism in UML 2.0 was restricted to cases that were well understood: classifiers, operations, and packages.

    在UML 2.0中的模板机制受到一些容易理解的案例的限制如:分类器,操作,和包。

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  • Most of the algorithmic effort in the development of ICM RME was invested in how to automatically create and tune classifiers.

    在开发ICMRME时,大多数算法开发工作集中在如何自动地对分类器进行创建和调优。

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  • Packages enable modelers to organize the model's classifiers into namespaces, which is sort of like folders in a filing system.

    软件包使建模者能够组织模型分类器到名字空间中,这有些象文件系统中的文件夹。

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  • There are two strategies for multiple classifiers combination: multiple classifiers fusion and multiple classifiers selection.

    多分类器组合策略有两类:多分类器融合和多分类器选择。

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  • Grammaticalization of Chinese classifiers involves two aspects, structural code adjustment and semantic evolution of classifiers.

    汉语量词的语法化过程涉及两个方面:量词短语结构的变化和量词的语义演变。

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  • Real biological data experiments show that this algorithm significantly increases the classification (accuracy) of existing classifiers.

    真实的生物学数据实验证明该算法可显著提高分类器的分类准确性。

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  • By storing out and analyzing the classifiers in Journey to the West, the paper sums up the characteristics of the classifiers in the book.

    本文对《西游记》中所使用的量词进行整理和分析,归纳出书中量词的使用特点。

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  • Introducing the decision tree classifiers into packet filtering technology, it changes the conventional method searching the packet orderly.

    把决策树分类器引入包过滤技术当中,改变了传统的顺序检索包过滤的方法。

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  • Based on the theory of statistics, this dissertation investigates neural network classifiers realized with software simulation in the computer.

    本文以统计理论为基础,主要讨论在计算机上用软件模拟实现的神经网络分类器。

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  • At the same time this paper is also a beneficial trying on the application of classifiers combination technology in the traffic prediction field.

    同时也是将分类器组合技术应用到交通预测领域的有益尝试。

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  • In addition, these classifiers are highly intelligent in the way they are created dynamically and tuned, with either training or incremental learning.

    另外,这些分类器非常智能化,可以通过不断的学习动态地创建和调优。

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  • Naive Bayes classifiers often break down when the size of the training examples per class are not balanced or when the data is not independent enough.

    当各类的训练示例的大小不平衡,或者数据的独立性不符合要求时,Naive Bayes分类器会出现故障。

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  • In this paper, a dynamic method is presented, which estimates the reliability of classifiers based on the output information of classifiers directly.

    文章提出了一种分类器的动态联合方法,该方法直接利用分类器的输出信息来估计分类器的可靠性。

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