查询词典 conditional entropy

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。

Examples are given to illustrate the conditional entropy maybe increased, so Shannon's definition of information is not absolutely correct.

论文摘要：从新的角度指出了香农信息论和信息定义的局限性，指出了它没有考虑信息的可靠性，完备性等特点，指出条件熵的命名不恰当，香农的"条件熵"应该称为加权平均条件熵，并且举例证明了条件熵可能增加，进而香农信息定义中的不确定性的减少也不是绝对的。

Examples are given to prove the conclusion that conditional entropy never increases is not absolute, thus the representation that information is to decrease uncertainty in the definition of information is not absolutely correct, so Shannon's definition of information is not fit.

从多个角度分析了条件熵的定义和计算公式的问题，对条件熵的计算公式进行了纠正，并且举例证明了熵不增并不是绝对的，进而指出香农信息定义中的不确定性的减少也不是绝对的，从而信息的定义名不副实。

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。

To solve the problem, the collocation preference statistic model based on relative conditional entropy is brought up to measure the 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。

This paper compares conditional entropy of entanglement and concurrence at the same condition,and the result shows that the curves of their evolvements are identical.

应用条件熵纠缠度研究了真空腔场中两全同二能级原子之间纯态和一类混合态纠缠的时间演化，比较了相同条件下两全同原子系统concurrence纠缠度的时间演化。

In the United States, chronic alcoholism and hepatitis C are the most common ones.

在美国，慢性酒精中毒，肝炎是最常见的。

If you have any questions, you can contact me anytime.

如果有任何问题，你可以随时联系我。