双语例句
1.
Apart from the fact that thisismislabeled,youcouldnotguaranteethatotherswouldrecognizetheseconventions,oreven.
不仅这种说法不对，而且你无法保证其他人会认识到这些习俗，或者甚至会遵守这些习俗。
2.
Chongqingauthoritiesallegedthecompanysoldmislabeledporkfornearlytwoyears.
重庆市有关部门称沃尔玛将普通猪肉冒充有机猪肉进行销售已有近两年的时间。
cn.wsj.com
3.
Ittookmanyhours to figure outthata piece of softwarefromasmallcompanyhadmislabeled one of its tinygraphicsroutines.
伍德花了很多时间最后才发现原来是某小公司生产的软件错误标示了一个很小的日常图片操作。
www.kekenet.com
4.
Becauseofthepoortestisolationmislabeledproducts,resultinginundesirablemixed with high yield among the adverseflow.
由于对测试不良的产品隔离标识不当，导致不良混入良品之中，造成不良流出。
goabroad.zhishi.sohu.com
5.
Butwewantpeopletoknowwestandforfreedom,so we do notacceptbeingmislabeled as open source supporters.
但我们希望人们知道我们代表并坚持自由，所以我们不接受被贴上开源支持者的标签。
6.
Ijokedthattheanimalsmusthavebeenmislabeledor that the powerwasn'tswitchedon.
我开玩笑说一定是实验动物被标错了标签或者电源没有开启。
ngmchina.com.cn
7.
Infact,all of the products wereorganic,butsomehadbeendeliberatelymislabeled.
事实上，所有食物都是有机的，只是有一部分没被贴上“有机”的标签。
www.china.org.cn
8.
Hesays reporting on the mailedformand through follow-up enumerators oftenmislabeledthegenderofspouses,whichskewedthenumbers.
他还说，邮寄的表格和普查员经常弄错配偶的性别，这使得数字有偏差。
9.
Then regulators in ChongqingaccusedWal-Mart of selling regularporkmislabeled as organic.
之后重庆的管理者以用普通猪肉代替有机猪肉的原因控诉沃尔玛。
bbs.m4.cn
10.
Anerror in which GENLIN mislabeledthekernelofloglikelihoodforbinomiallogitmodelswasfixed.
一个错误的根标示不实的内核的日志可能性二项式罗吉特模式是固定的。
www.showxiu.com
权威例句
MislabeledIdentifying mislabeled training dataIdentifying and eliminating mislabeled training instancesRadiation pressure—the history of mislabeled tensorRadiation pressure—the history of a mislabeled tensorSmoke, mirrors, and mislabeled cod: poor transparency in the European seafood industry.The interhemispheric fissure: a commonly mislabeled cranial landmarkBlood bank safety practices: mislabeled samples and wrong blood in tube--a Q-Probes analysis of 122 clinical laboratoriesPublic health response to puffer fish (Tetrodotoxin) poisoning from mislabeled product.A Novel Context-Sensitive Semisupervised SVM Classifier Robust to Mislabeled Training Samples
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