markov

Commingled in an endless Markov chain!

合成一条无穷无尽的马尔可夫链!

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This paper proposes an Adaptive Joint Selective Repeat ARQ protocol for multiple wireless Markov channels.

文章提出了一种基于多个马尔可夫信道的自适应联合选择重发ARQ协议.

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Large-alphabet Chinese text compression using adaptive Markov model and arithmetic coder.

使用调适马可夫模型与算术编码之大字符集中文文本资料压缩.

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A class of strong limit theorems of Markov chains in random environments martingale method is proved.

通过随机环境中马氏链的一般构造性定义,利用鞅方法,得到了随机环境中马氏链的一类强极限定理.

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Then, the Hidden Markov Model and utilized to predict the splice sites.

其次, 本文将隐Markov模型应用于剪接位点预测.

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This paper mainly devotes to study limit theory of Markov skeleton processes through renewal method.

利用侯振挺教授等人提出的马尔可夫骨架过程理论讨论了传染病数学模型.

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Hidden Markov Models are introduced to the area of ship-radiated noise recognition.

将隐马尔可夫模型引入到舰船噪声目标识别中.

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Markov network is an undirected graph, while Bayesian network is a directed acyclic graph.

Markov网是一个无向图, 而Bayesian网是一个有向无环图.

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In this paper, we study the asymptotic equipartition property ( AEP ) form order nonhomogeneous Markov information source.

本文研究非齐次m阶 马氏信源的渐近均分割性.

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The Markov Chains for Rural Economic Structure Transition of Shanxi Province

山西省农村经济结构变动的Markov链研究

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When Gauss-Markov assumptions hold, we need not look for alternative unbiased estimators.

当高斯 - 马尔科夫假定成立时, 我们不需要再去找其它无偏估计量了.

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A traffic load forecast model by optimally combined Markov chain is presented.

提出了一种基于最优组合马尔柯夫链的业务量预测模型.

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A dyn amic fuzzy evaluation model is created a discrete MARKOV process and fuzzy set theory.

利用马尔柯夫链和模糊集理论,建立多指标动态模糊评价模型.

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Gaussian Markov random field is a multivariate Gaussian probabilistic model with Markov property.

高斯马尔可夫随机场模型是具有马尔可夫性质、符合多元高斯分布的概率模型.

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Source codes used in Hidden Markov Model ( HMM ) complete source code, has been tested.

源代码中使用隐马尔可夫模型 ( HMM ) 完整的源代码, 已经过测试.

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We find optimal stopping rules by using the weak infinitesimal generator of markov process.

利用弱无穷小算子,我们找出了最优停时规则.

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To study special Markov processes with infinitely divisible limit distributions, the characteristic function was used.

研究极限分布具有无穷可分性的马氏过程.

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The martingale property and the strong Markov property of this kind of surplus process are discussed.

讨论了该盈余过程的马尔科夫性和鞅性.

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In order to determine the a priori distribution of these submodels, a half plane Markov random field model is utilized to describe the distribution of the line process.

半平面MRF（Markov Random Field）模型描述线过程的分布，以确定各个子模型的先验概率。

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