此分类算法首先计算未知类别样本的重构系数，定义一种误差作为判别标准，根据此误差的大小判断样本的类别归属。
This algorithm firstly computes the reconstruction weights of unknown samples. Then an error, on which the class of samples can be decided based, is defined as a criterion.
另一方面，这个判断是基于一个小样本的。
On the other hand, this estimate is based on a small sample.
在不久的将来，研究人员将组织患者，通过对他们的组学样本的研究来判断他们对某种疗法是否敏感。
In the near future, organized and active patients will start providing their own genetic samples for omics-based trials to determine whether they will respond to particular therapies.
我们能够探测到端粒长度的差异，这是一个很简单而且快速的技术：很多样本能够同时检验，更重要的是，我们能够判断出那些是危险的端粒？
We can detect very small differences in telomere length and it is a very simple and fast technique where many samples can be analysed at the same time.
然后，stat - comments . pl读入文本输入或脚本末尾处提供的样本数据，并进行检查以判断注释是否被完全获取。
Then, stat-comments.pl reads in either the text input, or the sample data provided at the end of the script, and checks to see if comments were obtained at all.
通过选择足够的故障样本来训练神经网络，将代表故障的信息输入训练好的神经网络后，由输出结果就可以判断发生的故障种类。
When symptoms that represent faults are input to the trained neural network, the type of fault can be determined in the output of the neural network.
芯片中组织微阵列排列整齐，各样本组织染色清晰，组织定位良好，可判断性强。
The tissue microarray were arranged in order and stained clearly and there were good viewing field for judge.
介绍了蒙特卡罗模拟应用中两种判断模拟样本量的方法——绝对偏差方法和相对偏差方法。
This paper introduces two methods: Absolute Error method and Relative Error method, which are used to determine the proper sample size in Monte Carlo simulation.
预警模型对已知的样本数据可以完全判别，在初步使用后对未知样本数据的基本判断准确。
The early-warning model can distinguish the known sample data completely. After the preliminary use, the early-warning model can accurate distinguish almost the unknown sample data.
由于该方法中判断某个决策单元是否DEA有效，是以各实际样本点的外包络面为基础的，因此称为数据包络分析。
In this method to tell whether one DMU is DEA efficient or not is based on the frontier of real sample points, so it is called Data Envelopment Analysis.
基于中国样本的实证分析支持了NAHM的推理，也同样支持恰亚诺夫的判断。
Empirical tests of Chinese samples support the NAHM analysis, and also justify Chayanov's conclusion.
摘要：规则学习算法通过学习样本产生规则集，如伺判断规则集的好坏？
Absrtact: the rule extraction algorithm produces the rule set by learning examples. How to evaluate the rule set?
通过对新测取的噪声信号样本进行检验，证明该方法能有效地判断待检样本的类型，诊断连杆轴承故障。
Case research proved it's effective to recognize new data of fault model and diagnose the faults of connecting rod bearing .
并利用BP算法得到输出与样本均值之间的关系图，从系统输出值的归属区间判断初级指挥员素质的高低。
The BP algorithm was also adopted to get the relation image between output and average value of sample. The attri…
对预留的样本进行扫描电镜观察及能谱分析，以判断金属与陶瓷的结合界面状态。
Scanning electron microscope and energy spectrum analysis was used to observe the interface of the specimen which was selected.
tcga数据库样本哪些是肿瘤哪些是正常这种东西是看不出来是否判断与肿瘤有关的，肿瘤本身具有远端转移特性，从各个组织中都有可能存在。
Whenever bench scientists ask me how they can look at TCGA data, I've never had a good answer for them. Now I do.
tcga数据库样本哪些是肿瘤哪些是正常这种东西是看不出来是否判断与肿瘤有关的，肿瘤本身具有远端转移特性，从各个组织中都有可能存在。
Whenever bench scientists ask me how they can look at TCGA data, I've never had a good answer for them. Now I do.
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