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time classification中文什么意思

发音:   用"time classification"造句
  • 时代分类
  • time:    n. 1.时,时间,时日,岁月。 2.时候,时刻;期间; ...
  • classification:    n. 1.选别;分等,分级;分选。 2.【动、植】分类( ...
  • classification:    n. 1.选别;分等,分级;分选。 2.【动、植】分类(法)。 〔分类级别为: phylum 【动物;动物学】及 division 【植物;植物学】门,class 纲,order 目,family 科,genus 属,species 种,variety 品种〕。 3.类别;等级;(文件的)保密级。 a classification yard (车站的)调车场。
  • a broad classification:    粗略的分类
  • abbott classification:    阿波特分类法
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例句与用法

  1. Real - time classification video retrieval system based on hsi model
    空间的实时分级视频检索系统
  2. Moreover the system has the property of real - time classification with simple and clear clustering style
    而且系统分类具有即时性,聚类方式直观明? 。
  3. According to the effect of size distribution to classification , the idea of pre - classification and two times classification was proposed , which , to great degree , reduces the effect of tail flowing and drift flowing and improves the precision of classification
    针对颗粒粒度分布对分级效果的影响提出了预分级和二次分级的思想,极大程度地减少了尾流和漂流的影响,同时提高了分级精度。
  4. Through discussing such core technologies in the automatic processing of chinese information as automatic word segmentation , feature selecting and automatic representation of texts , the thesis makes some improvements and perfection on the current methods of automatic word segmentation and text space reduction of chinese texts , therefore improved their efficiencies and effects . with regard to the methods of text classification , the paper introduced two supervisory automatic classification methods of chinese texts based on multi - classification , i . e . fuzzy clustering and boosting , which settled the problem of low percentage of recall . through comparing the results of experiments with the two methods , an automatic classification system of multi - classification texts is constructed based on the boosting method , which received good effects in application and provides a good resolution to the problem of real - time classification of information
    通过对汉语信息自动处理中自动分词、特征提取、文本自动表示等核心技术讨论,对目前汉语文本自动分词和文本降维方法中的不足和缺陷作了改进,提高了分词和文本分类的效率和效果;在文本自动分类方法上,介绍了两种有监督的基于多类的汉语文本自动分类处理方法? ?模糊聚类方法和boosting方法,解决了实践中文本分类查全率不高的问题;通过对两种方法的实验比较结果,构建了基于boosting方法的多类文本自动分类系统,在实际应用中收到了良好的效果,较好的解决了信息的实时分类问题。

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Last modified time:Sun, 17 Aug 2025 00:29:56 GMT