- 更多网络例句与条件熵相关的网络例句 [注：此内容来源于网络，仅供参考]
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The high order context arithmetic model is applied to approximate the entropy limit in the process of arithmetic coding of the output information of the bitplane coding.
在对位平面量化的输出信息作算术编码过程中，为实现条件熵编码对极限熵的逼近，进行了高阶的条件算术编码建模。
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Also this paper gives a definition of quantum conditional entropy of entanglement E_ A｜Band proves that it satisfies the four fundamental conditions of a entanglement measure for a kind of mixed state of 2×2 quantum system by this negative quantum conditional entropy Using conditional entropy of entanglement,this paper investigates the quantum entanglement between the two identical two-level atoms simultaneously interacting with vacuum cavity field as an application.
给出了负值量子条件作为条件熵纠缠度的定义，证明了条件熵纠缠满足作为2×2系统一类混合纠缠态量度的四个基本条件。当双量子系统处于纯态时，条件熵纠缠度即为部分熵纠缠度。
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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。
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Examples are given to illustrate the conditional entropy maybe increased,so Shannon's definition of information is not absolutely correct.
从新的角度指出了香农信息论的局限性，指出了它没有考虑信息的可靠性，完备性等特点，指出条件熵的计算公式问题并且进行了纠正，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。
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The theory significance of conditional rough entropy in decision information system is discussed. The conditional rough entropy measures the partial uncertainty in decision information systems.
讨论了集合的条件熵在目标信息系统中的理论意义，集合的条件熵刻画了目标信息系统的局部的不确定性。
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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。
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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。
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This paper analyzes the informational entropy and the conditional entropy,and studies the entropy deeply as an indefinite measure of the battlefield information.
熵是度量信息有效性和可靠性的重要理论工具，分析了信息熵和条件熵，并深入研究了熵作为不确定性的度量在战场情报中的评估应用，最后举例说明了既要考虑信息的价值又要考虑其风险程度这一新的情报分析方法，使得决策过程透明化，降低了决策的风险。
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In this study, on the basis of information theory and statistical methods, we use mutual information, n-tuple entropy and conditional entropy, combining with biological characteristics, to analyze the long range correlation and short range correlation in human Y chromosome palindromes.
本文中，我们利用信息论和统计学的方法并结合生物学的特征研究人类Y染色体回文序列的互信息、'n字'熵、条件熵，定量分析了回文序列的长程关联和短程关联，发现其中既存在长程关联，也存在短程关联，并且它们主要是由序列中的重复序列引起的。
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Limitations of Shannon's information theory and information definition are analyzed from new angles. It is pointed out that they didn't consider the reliability, completeness and other characteristics of information, and the naming of conditional entropy is not proper. The correct naming of Shannon's "conditional entropy" should be weighted average conditional entropy. Examples are given to illustrate the conditional entropy maybe increased, so Shannon's definition of information is not absolutely correct.
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。
- 更多网络解释与条件熵相关的网络解释 [注：此内容来源于网络，仅供参考]
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dirichlet boundary condition：狄里克雷边界条件
相容条件consistency condition | 狄里克雷边界条件Dirichlet boundary condition | 熵条件entropy condition
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conditional entropy：条件熵
条件VaR:conditional VaR | 条件熵:Conditional entropy | 条件句:conditional sentences
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conditional entropy：带条件的平均信息量, 条件熵
conditional endorsement | 附条件背书 | conditional entropy | 带条件的平均信息量, 条件熵 | conditional equality | 条件等式
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random conditional entropy：随机条件熵
条件矩母函数:conditional moment generating functions | 随机条件熵:random conditional entropy | 条件关联系数法:Conditional Dependence Coefficient
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average random conditional entropy：平均随机条件熵
条件概率降维法:dimensions reduction method by conditional probability | 平均随机条件熵:average random conditional entropy | 有限委托--代理制:Conditional Principal-agent Module
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conditional endorsement：附条件背书
conditional dominance | 条件显性 | conditional endorsement | 附条件背书 | conditional entropy | 带条件的平均信息量, 条件熵
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entropy：能趨疲;熵
通常温度降低,分子排列较有秩序,引起能趋疲(熵)(entropy)的降低. 由液体转变到固体,其熵会降低,反之亦然. 井然有序排列的分子易于长晶. 通常一种长晶条件泡两份,一份置于室温,另一份放在4℃的冰箱.