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conditional entropy相关的网络例句

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与 conditional entropy 相关的网络例句 [注:此内容来源于网络,仅供参考]

The main contributions and innovations in this dissertation are as follows:(1) The uncertainty of knowledge and rough set is discussed and a fuzzy entropy measure method based on boundary region is put forward. It redefines knowledge rough entropy and rectifies the definition of rough entropy of rough set.

论文的主要贡献及创新如下:(1)对知识和粗集的不确定性进行了深入研究,提出一种基于边界域的模糊熵度量方法,重新定义了知识粗糙熵并修正了粗集粗糙熵的定义。

In the process of constructing the EDRI, we define the entropy weight on the basis of the theory of information entropy, and the synthetic weight of evaluating indicators, which is more rational for the model, is determined by combining the entropy weight with the expert's subjective weight.

在地震灾害风险指数的建立过程中,根据信息熵理论计算熵权,采用熵权与专家意见相结合的方法确定风险指数的综合权重,从而使模型权重的确定更加合理。

The concept of symmetric cross entropy is presented to compensate the shortcoming of the cross entropy in meeting symmetry, and it is a kind of distance measure proved theoretically. Then, a new evaluation model is founded by using the symmetric cross entropy as an evaluation index.

针对其不满足对称性的不足,提出了对称交互熵的概念,并从理论上证明了对称交互熵是一种距离测度,从而建立了以对称交互熵为指标的评估模型。

Under the condition that the flux function has one inflection point, by the structure of weak entropy solution of the corresponding initial value problem and the boundary entropy condition developed by Bardos-Leroux-Nedelec, we give a construction method for the global weak entropy solution of the initial-boundary value problem arid clarify the solution structure nearby the boundary.

在流函数具有一个拐点的条件下,由相应的初始值问题弱熵解的结构和Bardos-Leroux-Nedelec提出的边界熵条件,给出初边值问题整体弱熵解的一个构造方法,澄清弱熵解在边界附近的结构。

The entropy is a very important core concept in the information system, By calculating and comparing the entropy in the multiple-choice question, this paper analyzed the significance of the multiple-choice question s entropy in Drill and Practice courseware.

信息熵是信息系统中一个十分重要的核心概念,本文通过对课件中多重选择问题的信息熵的计算比较,浅析了多重选择问题的信息熵在操练与练习型结构课件中所体现的意义。

Design of mutual information, entropy, information gain, conditional entropy and more.

设计互信息,熵,信息增益,条件熵等等功能。

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。

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。

Two steganography security definitions fitted for images are proposed from different points of view. One is in terms of the relative entropy based on the reversible de-correlation transform. The other is in terms of the conditional relative entropy using the markov random field model for images.

分别从两个不同的角度提出了新的适合图像载体的掩密安全性定义:基于可逆去相关变换的相对熵安全性定义和基于Markov图像模型的条件相对熵安全性定义,并分别以不同的图像模型对这两个定义进行了讨论。

By re-prove the theorem on the relationship between information entropy and roughness of knowledge,this paper finds that it is conditional information entropy which exists one-to-one relationship with roughness of knowledge.Then several related theorems are given and proved.

该文通过重新证明知识粗糙性和信息熵的对应关系定理,找到与知识粗糙性存在一一对应关系的是条件信息熵,并给出相关定理及其证明。

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