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开放测试的英文

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"开放测试"怎么读用"开放测试"造句

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  • open beta

例句与用法

  • Practice and research for establishing the opening measuring fund of large precious apparatus
    建立大型精密仪器设备开放测试基金的实践与研究
  • In contribution analysis , the result shows that word - level features are the most useful information
    在各种类型特征对性能的贡献分析中发现,在开放测试中词一级的特征对系统性能的贡献最大。
  • Experimental results show that the new method achieves 82 . 76 % at precision , which is better than other approaches in open test
    实验结果表明,所提出的方法在开放测试中其正确率达到了82 . 76 % ,性能好于其他方法。
  • The recall rate of duplicated web pages reaches 97 . 3 % , and the precision rate of the duplication removal reaches 99 . 5 % in large scale testing
    实验结果表明该算法是有效的,大规模开放测试的重复网页召回率达97 . 3 % ,去重正确率达99 . 5 % 。
  • Similarly to how we ' ve conducted beta tests in the past , we will gradually open up the beta to more and more testers in order to gauge server stability and connectivity
    与以前一样,我们将会向越来越多玩家开放测试以检测服务器的稳定性和连通性。
  • Work with all parts of the system , we create a new type of frame for automated software testing by using object oriented theory
    同时,我们将测试流程及策略的相同部分抽象出来,产生自动测试策略库,通过开放测试架构集成一体,形成一个自动测试系统以支持软件测试。
  • The thesis accomplishes closed testing on fudan corpus and open testing on corpus randomly downloaded from internet , and then states corresponding analyses in detail
    本文在复旦语料库完成了封闭测试,在随机下载的文档集上完成了开放测试,然后对实验结果进行了详细地分析。
  • According to the results of close - test and open - test on the corpus of 500 , 000 chinese characters , the accuracy of multi - category words ' part - of - speech tagging can be increased by 11 . 32 % and 5 . 97 % respectively
    分别对50万汉语语料做封闭测试和开放测试,结果显示,校对后语料的兼类词词性标注正确率分别可提高11 . 32 %和5 . 97 % 。
  • It uses chinese character , words and descriptor to distill the terms of a document . this method can improve the classification performance under most test circumstances . 2 ) term weighting : based on the tests that other scientists ha
    在笔者的实验当中,通过对其进行改进,并与特征选择和赋权相结合,系统的封闭测试分类正确率可接近100 % ,开放测试正确率也明显提高,接近knn和svm算法。
  • The results of close - test and open - test of the system for chinese word segmentation correction are 93 . 75 % and 81 . 05 % respectively , and the results of close - test and open - test of the system for chinese part - of - speech tagging correction are 90 . 40 % and 84 . 85 % respectively
    根据实验,分词校对封闭测试和开放测试的正确率分别为93 . 75和81 . 05 ;词性标注校对封闭测试和开放测试的正确率分别为90 . 40和84 . 85 。
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用"开放测试"造句  
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