class variable造句
例句与造句
- By default ; class variables and constants are
；类变量和常数默认为 - To the section name and reset the global current classes variable
设置成节名并将全局的当前类变量 - In other words they are class variables , not instance variables
换句话说它们是类变量,不是实例变量。 - Class variables as in the java language are qualified by the class name
类变量（像在java语言中一样）是用类名限定的。 - Demonstrates how to access a base class variable that is hidden in a derived class
演示如何访问在派生类中隐藏的基类变量。 - It's difficult to find class variable in a sentence. 用class variable造句挺难的
- Overloaded infix operators and do not work if both operands are class variables
如果两个操作数均为类变量，重载中缀运算符< <和> >无效： - In the java language , only one sensible mapping exists : the attribute becomes a class variable
在java语言中只有一种合理的映射方式：属性变成一个类变量。 - An assertion cannot be used with class variable declarations for instance , but can be placed within any method
不能将断言同实例的类变量声明一块使用，但却可以将其置于任何方法内。 - Structure variable declarations cannot specify initializers or initial sizes for arrays ; class variable declarations can
结构变量声明不能指定初始值设定项或数组初始大小，而类变量声明可以。 - If an element was not previous selected using a mouse click , the code assigns the element to a private class variable named
如果某元素不是以前使用鼠标单击选定的元素，此代码会将此元素分配给名称为 - To facilitate this , the plug - in class implements the singleton pattern : it stores a reference to itself in a private class variable
为了使这一点更方便，插件类实现单模式（ singleton pattern ） ：它在私有类变量中存储一个自身的引用。 - The java class has a class variable that stores a lookup dictionary with all the possible spellings and naming of a locale , for all the locales that could come in as input
Java类有一个用来存储查找字典的类变量，其中包含了可能作为输入的每个地区所有可能的拼写和命名。 - Two steps were included : the first step was to label those documents containing latent class variables by blsa ; the second step was to label the rest by naive bayesian model with em algorithm
本算法不需要对大量训练样本的类别标注，只需提供相应的类主题变量，从而提高了wsdl文档分类的自动性和效率。 - We explored the specific machine learning technique , i . e . bayesian technique in this paper , in the hope of automatically creating such kind of metadata from training data . we assigned wsdl documents to different categories using bayesian latent semantic model . with the frame of blsm , our system classified wsdl documents only by a few of latent class variables and no labeled data
本论文中基于贝叶斯技术的web服务分类算法的主要思想是通过引入贝叶斯潜在语义模型，首先将含有潜在类别主题变量的wsdl文档分配到相应的类主题中；接着利用朴素贝叶斯模型，结合前一阶段的知识，完成对未含类主题变量的文档作标注。