1) error scores
虚假分数
1.
Although those experts and educators have got the conclusion that Multiple-choice cloze is easy to deal with, formally-organized, simple to evaluate, facilitates students’guess toward answers, lowers the difficulty of tests, and tends to produce error scores, no experts and educators can analyze the proportion of error scores and the effect it has on validity of examinations comprehensively.
虽然过去的学者和专家普遍得出了选项式完形填空一方面方便操作、形式规范、评分容易,另一方面又会使学生倾向于猜测答案,影响考试难度,产生虚假分数的结论,但没有任何学者能对虚假分数的出现的比例和它对考试效度的影响做出全面细致的分析。
2) false data
虚假数据
1.
The author also want to arose high attention of craft brother to prevent false data of test,and consummate all kinds of quality control system in engineering management.
本文笔者多年的工作经验,对公路工程试验检测中虚假试验检测数据的成因、判别方法和预防措施进行了深入的分析和研究,以期引起广大同行对保证试验检测数据真实性的高度重视,共同杜绝虚假数据,完善各项工程质量管理制度。
3) spurious impulse
虚假计数
4) false segmentation
虚假分割
1.
In order to segment accurately and on-line,most conventional algorithms are based on small-scale audio classification and always result in a high false segmentation rate.
目前大多数传统的音频流分割方法是基于小尺度音频分类的,但是这类分割方法普遍存在虚假分割点过多的缺点,严重影响了实际应用的效果。
6) illusive component
虚假分量
1.
First, this paper analyzes many simulative signals by Matlab, and thendiscusses the problem of illusive component due to HHT , uses the K-S test to recognise theillusive component, proposes the similarity probability between the IMFs and the signal as thestandard that whether a IMF is illusive or not, and gets t.
本文首先在Matlab平台上应用HHT理论对大量的仿真信号进行了深入分析,并针对HHT产生虚假分量的问题,提出应用K-S拟合优度检验理论进行虚假分量识别,以分解后各个固有模态分量(IMF)与原始信号之间的相似概率作为判断标准,识别和去除虚假分量。
补充资料：数据通信网(见数据通信)
数据通信网(见数据通信)
data communication network
shu)u tongxinwang数据通信网(datac。mmunicati。nne饰ork)见数据通信。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条