马尔科夫被毒镖击中后身亡。
利用马尔科夫过程讨论了其迁移概率。
运筹学和马尔科夫决策过程处理以一个序列发生的行为。
Operations research and Markov decision processes tackled actions taking place in a sequence.
然后给出了隐马尔科夫过程动态系统的一般模型。
Also we present commonly model of Hidden Markov Processes dynamic system.
提出了一种基于马尔科夫随机场的双序列比对算法。
A novel markov pairwise protein sequence alignment method was proposed in this thesis.
提出了一种基于马尔科夫随机场模型的缺陷检测方法。
A method of vane defects detecting based on Markov random field is presented in this paper.
特别地，约化模型应用了随机过程中的马尔科夫理论。
Particularly, the markov theory of random process has been used in reduced model.
马尔科夫过程模型已经广泛地应用于系统可靠性评价中。
Markov Process Model has been widely used in system reliability evaluation.
任何可以被描述成为这样一种形式的系统就是马尔科夫过程。
Any system that can be described in this manner is a Markov process.
提出了一种基于马尔科夫随机场和遗传算法的图像恢复的方法。
This paper presents an image restoration method based on Markov random fields.
论文提出了一种计算有限状态离散时间马尔科夫链平稳分布的算法。
An algorithm for computing the stationary distribution of finite state discrete time Markov Chains is provided in the paper.
基于模糊评价和马尔科夫过程，研究了在役桥梁承载力可靠度的时变规律。
The time-varying reliability of existing bridge on bearing capacity was discussed based on fuzzy evaluation and Markov process.
在实践中，这是一个马尔科夫模型对与实际过程的一个最不现实的假设之一。
In practice, this is one of the most unrealistic assumptions of Markov models about real processes.
方法：阐述马尔科夫模型的原理，通过实例说明其在药品经济预测中的应用。
METHOD: the principle of Markov model was expounded and its application in the forecasting of drug market was illustrated with examples.
应用马尔科夫状态图法，对一个实际的硬件式可修容错计算机系统进行了可靠性评估。
In this paper, the reliability of a fault-tolerance computer system is evaluated by Markov status graph.
本文应用马尔科夫随机模型估计从正常到EB病毒抗体阳性，再到鼻咽癌的转移概率。
Markov stochastic chain model was used to analyze the transition rates from normal to positive anti EBV and from positive anti EBV to NPC.
研究了基于混合分数布朗运动的债券市场上的价格预测、马尔科夫短期利率和套利问题。
In this article, we focus on the prediction for bond price, arbitrage and Markovian short rates in the bond markets based on mixed fractional Brownian motion.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
利用概率分析和向量马尔科夫过程方法，求得了系统的可靠性指标并研究了最优诊断策略。
By using probability analysis and the method of vector Markov process, reliability indexes are obtained, the optimal diagnostic policies are studied.
为了推理移动用户在智能空间的活动，提出了基于隐马尔科夫模型的上下文感知活动计算。
The context-aware activity computing based on hidden Markov model was proposed to predict the activity of mobile user in a smart space.
伴随着这个，又有了使用的数据分析新方法，例如，马尔科夫链，蒙特卡洛模拟这些大型计算机密集型算法。
Accompanying this have been new approaches to data analysis using, for example, Markov Chain Monte Carlo simulations that are hugely computer intensive.
为了计划后面多个步骤，当可能的世界状态数目不算太多时，通常用到一种被称作马尔科夫决策过程的算法。
In order to plan ahead for multiple moves, an algorithm known as a markov decision process is commonly used when there are only a reasonably small group of possible world states.
该文研究了基于数据模拟方法和HMM（隐马尔科夫模型）自适应的电话信道条件下语音识别问题。
This paper addresses the problem of speech recognition under telephone channel conditions using data simulation method and HMM(Hidden Markov Model)adaptation.
这种类型的问题出现在需要使用大量马尔科夫模型的语言识别中，每一个模型对特定的一个词建模。
This type of problem occurs in speech recognition where a large number of Markov models will be used, each one modelling a particular word.
通过求得两种随机变量的联合分布的表达式，证明了此类随机变量序列是强平稳的齐次马尔科夫链。
Then proves that this kind of random variables are the Markov chains with strong placidity by getting two kinds of expressions of the random variables combine distributing.
分别采用二元决策图及马尔科夫方法对关键设备的动态故障树模型中静态子树和动态子树进行分析。
Binary Decision Diagram and Markov method are applied in the DFT modeling of satellite key devices to process static subtree and dynamic subtree, respectively.
本文阐述了离散时间点过程理论，时变马尔科夫链及鞅差分序列在城市交通车队状态观测器中的应用。
This paper presents some applications of discrete - time point process theory, time - varying Markov chain and Martingle difference in urban traffic computer-based control systems.
高斯·马尔科夫序列实验表明，该算法较好地实现了全局最优，并有助于克服对初始码书较为敏感的缺点。
The experiments of Gauss Markov sequences show that the algorithm has better achieved the global optimal point and helps overcome the shortcoming of the sensitivity to initial codebook.
高斯·马尔科夫序列实验表明，该算法较好地实现了全局最优，并有助于克服对初始码书较为敏感的缺点。
The experiments of Gauss Markov sequences show that the algorithm has better achieved the global optimal point and helps overcome the shortcoming of the sensitivity to initial codebook.
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