membership class
英 [ˈmembəʃɪp klɑːs]
美 [ˈmembərʃɪp klæs]
【计】属籍类别
双语例句
- For the Virtual Member Manager to understand which groups an object is a member of, you need to define the associated membership attribute for the object class.
要让VirtualMemberManager知道某个对象属于哪个组，您需要为对象类定义相关的成员关系属性。 - Role membership is checked for any class for which class-level security is enabled, in addition to the application-level access check.
除了应用程序级别访问检查之外，还对启用了类级别安全性的任何类检查角色成员资格。 - Therefore, glazing products business card printing and membership card making ink should be chosen on the acidproof class, solvents and acidproof alkalescence.
所以，上光产品的制卡和会员卡制作油墨应选用耐酸类、酯类溶剂和耐酸碱性的。 - The fuzzy membership is defined not merely by the distance between a point and its class center, but also by two different points of the sample, which is depicted as the affinity between them.
该方法不仅考虑了样本点到类中心的距离，而且还考虑了样本间的密切度，结合这两种思想在特征空间中构造了一种新的基于动态核函数的模糊隶属度。 - By introducing fuzzy set theory to partition normal class space, classification function or classifier based on membership function of normal class defined using core points and core radii are constructed.
然后，将模糊集理论引入正常类的类属划分中，利用核点和核半径定义正常类的隶属度函数，建立基于隶属度函数的分类函数或分类器。 - Every attribute model of training set is set up by cloud model, which describes the membership to which any an attribute value belongs its class center Ex.
采用云理论建立训练集的各属性模型，表达各属性值隶属于其类别中心Ex的程度。 - Bayesian classifier are can predict class membership probabilities, such as the probability that a given sample belongs to particular class.
贝叶斯分类可以预测类成员关系的可能性，如给定样本属于一个特定类的概率。 - On the other hand, two new set membership identification algorithms are given by viewing set membership identification as construction a pattern classifier to decide which class a point belongs to.
另一方面，将集员辨识视为设计模式分类器对参数空间中的点进行分类的过程，构造了两种新的集员辨识算法。 - The fuzzy membership was calculated by the distance between the center of class and the sample, and the feature weight of the sample was calculated by introducing the concept of information entropy, thus the feature weight matrix was obtained to improve the kernel function.
该方法通过计算样本与类中心的距离获得模糊隶属度，并引入信息熵的概念计算各个样本特征的权重，获得特征重权重矩阵并改进支持向量机的核函数。 - According to this characteristic, we proposes a new membership function which is combined with the distance and angle so that the sample data closer to the edge of class and normal vector has a larger membership.
根据这一特点，本文提出了一种新的隶属函数，同时考虑了距离和角度的概念，使得越接近类边缘和类中心向量的样本数据所拥有的隶属度越大。 - Bayesian classifier is a typical classifier based on statistics. It can forecast the possibility of class membership, for example, calculating the probability of a sample belonging to a special class.
贝叶斯分类是一种典型的基于统计方法的分类方法，它可以预测类成员关系的可能性，如给定样本属于一个特定类的概率。