1) class-dependence feature analysis
类依赖特征分析
2) feature dependency
特征依赖
1.
Approach of feature dependency modeling for software product line;
一种面向产品线的特征依赖建模方法
2.
This paper proposed an adaptive granular concurrency control approach for the replicated collaborative feature modeling based on the feature dependency and extremely improved the degree of collaborative design.
针对复制式协同设计提出了一种基于特征依赖关系的自适应粒度的并发控制方法,极大地提高了协同设计的并发度,最后采用C++编程语言结合WinSocket技术建立一个实现该并发控制方法的协同特征造型系统。
3) dependency analysis
依赖分析
1.
The method uses the underlying principle of the bound and collapse method to estimate the joint probability of variable sets,and it adopts basic ideas of dependency analysis to learn Bayesian networks.
在数据缺失的情况下,文章建立的贝叶斯网络结构学习方法BC-ISOR基于界定折叠方法进行变量集联合概率的估计,基于依赖分析的基本思想进行贝叶斯网络的结构学习。
2.
A new method of learning Bayesian network structure based on basic dependency relationship between variables,basic structure between nodes,d-separation criterion,the idea of dependency analysis and the strategy of mixture orienting is given.
基于变量之间基本依赖关系、基本结构、d-separation标准、依赖分析思想和混合定向策略,给出了一种有效实用的贝叶斯网络结构学习方法,不需要结点有序,并能避免打分-搜索方法存在的指数复杂性,以及现有依赖分析方法的大量高维条件概率计算等问题。
3.
Firstly, in this paper an over view of Bayesian network and its characteristics is presented,and how to learn a Bayesian network structure from given data is discussed,and then a model of the Bayesian network is constructed by the dependency analysis of Bayesian network learning algorithm for the period of Xiangshan Baycage culture with expert knowledge and the dataset.
贝叶斯网络具有强大的推理能力,能与先验知识和数据结合,进行定性和定量分析,提供了1条有效的处理预测问题的途径,本文首先介绍了贝叶斯网络基本理论及其特点,并讨论如何学习贝叶斯网络结构,然后由专家知识和给定数据,采用基于依赖分析的贝叶斯网络学习算法构造了海底网箱养殖水环境指标间的贝叶斯网结构模型。
4) Dependence analysis
依赖分析
1.
The reordering loop optimization transformation was investigated from the perspective of dependence analysis and specified,meanw.
从依赖分析的角度对重排序循环优化变换加以考查,并以循环逆转和循环交换为例阐述了其形式化描述方法。
2.
This paper proposed a potential deadlock detection algorithm for concurrent programs, which is based on the dependence analysis technology.
本文提出了一种基于依赖分析的并发程序潜在死锁检测算法,该算法是一种静态分析算法,能检测并发程序中是否存在潜在死锁,并能定位死锁发生时各线程可能被挂起的语句节点。
5) feature dependent graph
特征依赖图
1.
On this basis,this paper analyses the method of modifying feature precedence dynamically according to the relations among features in the feature dependent graph to insure the availability .
在语义特征造型中用特征依赖图(FDG)的数据模型来保存和维护设计中的各种特征信息及其之间的关系,在此基础上分析了依据特征依赖图中特征间的关系动态修改特征优先级的方法,确保了模型修改的有效性。
2.
It uses feature dependent graph as data model, cell-based model as geometric model, and view model as user interface, but it is more complex than the former system based on parameter and history.
在底层它用特征依赖图作为数据模型,在中层用细胞元模型作几何模型,在用户层用视图模型表示。
6) dependence-producing property
依赖性特征
补充资料：吗啡类依赖
吗啡类依赖
morphine dependenoe
阿片、海洛因、美沙酮、镇痛新、可待因等吗啡类药物长期持续使用产生的精神依赖和躯体依赖，即成瘾。其特点：①精神依赖强烈。由于强烈渴望用药，可不择手段，不顾个人、家庭和社会名誉，丧失伦理、道德和文明礼貌观念，甚至采用盗窃、欺骗等违法行为以达目的。②躯体依赖明显。在停药4～15小时后即可出现戒断症状，主要有失眠、倦怠、食欲不振、焦虑、哈欠、流泪、流涎、流涕、出汗、恶心、呕吐、腹痛、腹泻和肌肉抽动等。重者可精神运动兴奋或意识障碍、心力衰竭。可持续1周左右。③耐药性极易产生。根据病史、尿液检验及隔离观察可获确诊。住院隔离，给以即时戒断法、代替戒断法和递减法治疗。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条