unlabelled中文是什么意思

发音:

用"unlabelled"造句"unlabelled"怎么读"unlabelled" in a sentence"unlabelled"的同义词

中文翻译手机版

非示踪的
未标记的
未作标记的
无标号的
无标记的

"unlabelled analyte" 中文翻译 : 非标记分析物
"unlabelled antigen" 中文翻译 : 未标记抗原
"unlabelled block" 中文翻译 : 无标号分程序; 无标号信号组; 无标号信息块, 无标号程序块
"unlabelled packing" 中文翻译 : 无牌的包装
"unlabelled statement" 中文翻译 : 无标号语句
"counting unlabelled tree" 中文翻译 : 计数非标记树
"unlabelled basic statement" 中文翻译 : 未标号基本语句; 无标号基本语句
"unlabelled common block" 中文翻译 : 无标号公用块
"unlabelled common storage" 中文翻译 : 无标号公用存储
"unlabelled compound statement" 中文翻译 : 无标号复合语句
"unlabelled input file" 中文翻译 : 无标号输入文件
"unlabelled magnetic tape" 中文翻译 : 无标号磁带
"unlabeled file" 中文翻译 : 无标号文件
"unlabeled common storage" 中文翻译 : 无标号公用存储器
"unlabeled basic statement" 中文翻译 : 无标号基本语句
"unlabeled antigen" 中文翻译 : 非标记抗原
"unlabeled" 中文翻译 : 未作标记的; 无标号的

例句与用法

In the box , please state the name of the image and species , date , place and photographer . unlabelled images will not take part in the competition
同时请描述照片和物种，日期，地点和拍摄者。没帖标签的作品将无法参加竞赛。
Subjects also reported storing multiple medications in the same container , which is dangerous since most drugs look alike . even medical professionals have difficulty identifying unlabelled pills , let alone elderly patients
由于很多药物的外貌都很相似，将这些药物放在同一个容器内，有时候连医护人员也很难辨认，因此长者服药也会有很高机会出错。
While in the stage of document classifying , nntcs inputs feature vectors of the document to be classified , runs network with fixed weights , then compares the output with the predefined threshold to judge the class of the unlabelled document
而在文本分类的时候，输入待分类文档的特征向量，运行固定权值的网络，得到的输出值与阈值比较确定类别。
Data mining is the key step of kdd , which concerns on database , artificial intelligence , and statistics , etc . classification is the important content of data mining , which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ) . therefore , we can predict the unlabelled object classes with the classification model
分类是数据挖掘的一个重要内容，它通过构造一个分类函数或分类模型(也常称作分类器) ，把数据库中的数据项映射到给定类别中的某一个，从而能够使用该模型来预测类标号未知的对象类。
Monte carlo is a method that approximately solves mathematic or physical problems by statistical sampling theory . when comes to bayesian classification , it firstly gets the conditional probability distribution of the unlabelled classes based on the known prior probability . then , it uses some kind of sampler to get the stochastic data that satisfy the distribution as noted just before one by one
蒙特卡罗是一种采用统计抽样理论近似求解数学或物理问题的方法，它在用于解决贝叶斯分类时，首先根据已知的先验概率获得各个类标号未知类的条件概率分布，然后利用某种抽样器，分别得到满足这些条件分布的随机数据，最后统计这些随机数据，就可以得到各个类标号未知类的后验概率分布。
At last , it can obtain the posterior probability distibution of each unlabelled classes by analysing these stochastic data . it is easy to get a stochastic sample that satisfies some special distribution through running a special markov chain , so mcmc ( markov chain monte carlo ) is the most common monte carlo bayesian method
运行一个特定的马尔可夫链可以容易地获得满足某个特定分布的随机抽样，所以马尔可夫链蒙特卡罗( mcmc )是最常用的蒙特卡罗贝叶斯分类方法。
Normal behavior and anomaly are distinguished on the basis of observed datum such as network flows and audit records of host . when a training sample set is unlabelled and unbalanced , attack detection is treated as outlier detection or density estimation of samples and one - class svm of hypersphere can be utilized to solve it . when a training sample set is labelled and unbalanced so that the class with small size will reach a much high error rate of classification , a weighted svm algorithm , i
针对训练样本是未标定的不均衡数据集的情况,把攻击检测问题视为一个孤立点发现或样本密度估计问题,采用了超球面上的one - classsvm算法来处理这类问题;针对有标定的不均衡数据集对于数目较少的那类样本分类错误率较高的情况,引入了加权svm算法-双v - svm算法来进行异常检测;进一步,基于1998darpa入侵检测评估数据源,把两分类svm算法推广至多分类svm算法,并做了多分类svm算法性能比较实验。
And it adds a - priori information into the patterns to change the method as a semi - supervised clustering . in the clustering process , the unlabelled patterns compare similarities with the labeled patterns , and then the accuracy of the algorithm can be increased . ( 3 ) the paper proposes an interactive learning - based image mining in remote sensing
由于遥感图像各类别在特征空间中散点图的分布的特点,本文对传统的fcm聚类算法进行改进,并且加入先验信息之后,将原来的非监督的聚类变成一种半监督的聚类方法,通过与已标签的样本进行相似性比较,能有效地提高聚类算法的准确度。