查询词典 conditional definition

Then, two new algorithms based on conditional entropy, namely CEBARKCC algorithm and CEBARKNC algorithm, are developed in the thesis.

在上述规律的基础上，论文提出了两个新的基于Rough Set理论的启发式知识约简算法：CEBARKCC算法和CEBARKNC算法。

First, regarding the gray values in images as discrete-valued random variables makes it possible to make a much simpler estimation of conditional entropy.

首先，把图像的灰度值视为离散的随机变量，从而可以采用更为简单的方法估计条件熵。

Decision table reduction based on conditional information entropy.

基于条件信息熵的决策表约简。

The roughness of knowledge embodies the granularity of knowledge in algebra view.Two concepts are defined in information view,which are information entropy of knowledge and conditional information entropy of knowledge.

在代数观点中，知识粗糙性体现了知识的粒度；而在信息观中，定义了知识的信息熵和条件信息熵。

Conditional information entropy was used to compute relevance of attributes and it was used in fitness function to assure reduction has fewer attributes and relevance of attributes.

利用条件墒计算属性问的相关性，并将其引入到适值函数中，可以保证所求约简含有较少的属性而且属性间的相关性较小。

The basic idea is that we use entropy and conditional entropy to measure whether a feature type grasps some of the information for syntactic structure prediction.

如果加入某个特征类型之后当前句法结构的不确定性明显下降，则认为该特征类型抓住了上下文中影响句法结构的某些主要信息。

Its feasibility was proved by calculation conditional entropy of 2step and korder Markov predictor.

通过分别对二步和k阶Markov预测器条件熵的计算，在理论上了证明了二步Markov预测器的可行性。

At first, analyze the farmer's desire for the pension by Rough Set theory, construct the attribute reduction algorithm based on the conditional entropy for the computation and analysis of 8,410 questionnaire surveys data to make use of the advantage of rough set to deal with indefinite and incomplete data.

首先利用粗糙集理论理不确定和不完整数据的优势，基于改进的基于条件熵的属性约简理论对8410份问卷调查数据进行计算与分析，得出与农民参保意愿密切相关的几个因素，如年龄、性别、收入、行业等。

To solve that problem, the collocation preference statistic model based on relative conditional entropy is brought up in this paper to measure dependence between headword and co-occurrence words in context.

针对以往研究将搭配视为词项的简单并置，而没有考虑词项间的倾向性的问题，提出了一个基于相对条件熵的搭配倾向统计模型，衡量中心词对上下文同现词的依赖程度。

Using conditional entropy as the heuristic information, it does not compute the core attribute, attribute reduction starts from the condition attributes directly.

该算法利用条件熵度量属性的重要性，不计算条件属性的核，直接在条件属性的基础上约简。

If you were not , and OS X just booted normally, have no fear.

如果你没有，和OS X刚刚启动通常，没有恐惧。

I only want to preserve our all .

我只想保存好我们的一切