The decision point will automatically route the work package to a branch based on the result of the decision rule at runtime.
决策点在运行时根据决策规则的结果自动将工作包传送到某一个分支。
A new method for decision rule synthesis based on rough set theory is proposed.
提出了一种基于粗糙集的决策规则综合的新方法——归类优选方法。
Recent researches on speech model and decision rule improve the performance of voice activity detection.
各种改进算法针对语音模型、判决规则等核心问题进行了系统研究，检测性能得到了进一步提高。
Combining this method with the K-nearest neighbor decision rule, a fixed neighborhood, decision algorithm is developed.
将该方法与K—最近邻判决规则结合，提出了用于判别的固定邻域判决算法。
Presents a new decision rule acquisition algorithm based on rough set and a practical decision rule presentation approach.
提出了一种基于粗糙集理论的决策规则获取算法及实用的决策规则表示方法。
Meanwhile, decision rule and quantificational standard for proper blank element size have been brought forward.
提出了合适的坯料网格尺寸的确定原则及其定量标准。
But the attribute reduction is a NP problem, the attribution reduction and decision rule reduction will be solved by method of elicitation.
但是属性约简是一个NP问题，对属性的约简和决策规则的约简只能通过启发式算法实现。
The most concise decision rule set that satisfies condition of mean decision power is regarded as final reduction result in the new reduction model.
新的约简模型将满足平均决策强度条件的最简规则集作为最终的约简结果，解决了不相容决策表约简结果不一致的问题。
VPRS (variable precision rough set) theory is introduced in the fault diagnosis of bearing, and a decision rule acquisition method of fault is presented.
将变精度粗糙集(VPRS)理论引入到轴承的故障诊断中，提出了一种故障决策规则提取方法。
The misclassification probability of the nearest neighbor decision rule won't exceed 2 times of that of Bayes decision rule when the sample number is very large.
最近邻准则是一种次最优准则，当样本数目很大时，最近邻准则的错误率不会超过贝叶斯错误概率的2倍。
In this paper, we introduce four boolean kernels. Using the four kernel functions which we introduce, we build a novelty decision rule classifier named as DRC-BK.
本文介绍了四种具有归纳偏置的布尔核函数，我们利用这 四种核函数构造出一种新颖的决策规则分类器DRC-BK。
Rough sets theory provides a framework in which indiscernibility relations and Boolean reasoning form a foundation for data reduction and decision rule generation.
粗糙集理论的概念性框架之一就是利用不可分辨关系和布尔推理作为数据约简和获取决策规则的基础。
Rough set theory is a new data mining and decision analysis method. Knowledge reduction and decision rule mining in decision table by using rough set theory has become a research hotspot.
粗糙集理论是一种新型的数据挖掘和决策分析方法，利用粗糙集理论进行决策表的知识约简与决策规则挖掘已经成为研究热点。
Finally, rough set theory is applied to discretization and attribution reduction of decision information table, in order to make the decision rule of image segmentation algorithm selection.
最后应用粗糙集理论来对决策信息表进行离散化处理和属性约简，以生成图像分割算法选取的决策规则。
In this paper, a Bayes decision rule is derived for the scale-exponential family with error in variables, and an empirical Bayes (EB) decision rule is constructed by a deconvolution kernel method.
本文获得了刻度指数族变量带误差情形下的贝叶斯决策，且利用解卷积的核方法构造出了经验贝叶斯决策。
A method of constructing an intelligent decision-rule model in a centralized-procurement-and-integrated-supply decision support system for large scale materials is presented.
讨论在大型物资统筹供应决策支持系统中构造智能决策规则模型的一种方法。
A method of constructing an intelligent decision-rule model in a centralized-procurement-and-integrated-supply decision support system for large scale materials is presented.
讨论在大型物资统筹供应决策支持系统中构造智能决策规则模型的一种方法。
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