| 1. | Added information about loading and evaluating property expressions
添加了有关加载和计算属性表达式的信息。 |
| 2. | Calculate the name of the attribute
计算属性名。 |
| 3. | Package configurations are loaded before the property expressions are evaluated
在计算属性表达式之前加载包配置。 |
| 4. | Computed attribute constructors cannot be used to declare a new namespace
计算属性构造函数不能用于声明新的命名空间。 |
| 5. | At run time , the property expression is evaluated using the updated variable value
在运行时，使用更新后的变量值计算属性表达式。 |
| 6. | Contains all the evaluated properties in the project after performing condition evaluation and property expansion
包含在执行条件计算和属性展开后项目中的所有计算属性。 |
| 7. | Property is designed to be a read - only , calculated property to get the actual current value of the displayed title at run time
属性旨在作为一个只读、计算属性，用于在运行时获取显示的标题的实际当前值。 |
| 8. | Syntax - lead translator appends lingual attribute on grammar symbol , calculating attribute value with semantic regulation , which attach to a group of producer expression
语法制导的翻译将语言的属性附加到文法符号上，并由一组附加到产生式上的语义规则来计算属性值。 |
| 9. | In this paper , we propose some new methods for computing the attribute cores , the significance of attributes and the dependency between attribute subsets based on database operations
文中基于数据库操作,提出了一种计算属性核值,衡量属性重要性,判断属性子集是否是一个约简的新方法。 |
| 10. | The csbark algorithm computes the cs of an attribute according to the weighted feature difference and value difference , then searching the minimal reduction of attributes using cs as heuristic information . the cs value not only represents the importance of a condition attribute , but also reveals its relationships with other attributes . the minimal rules set algorithm depends on the value core and integrates the logic relation in the reasoning
前者利用微差距离计算属性的加权特征差、利用互信息计算值差，从而求出各条件属性的上下文敏感度，该值既反映了对应的条件属性的重要性，同时还反映了该属性与其它属性的关联程度；后者利用值核在生成规则过程中的重要作用，结合推理过程中的逻辑关系求解最小决策规则集，并给出了规则的评价指标支持度和信度的计算方法。 |
