Operations research and Markov decision processes tackled actions taking place in a sequence.
运筹学和马尔科夫决策过程处理以一个序列发生的行为。
One way to measure these kinds of relationships is Markov analysis, which characterizes, for a given sequence of words, the probability of the words that might come next.
衡量单词之间关系的一种方法就是马科夫分析法，这一方法就是：对给定的单词序列，分析一个词跟着另一个词后面出现的概率。
Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.
为一包含了许多多重序列校准，以及“隐藏式马尔科夫模型”的巨大集合，里面涵盖了许多常见的蛋白质家族。
An algorithm generating Markov chain from heterogeneous software architecture modeled in UML sequence diagram is proposed.
基于软件UML顺序图，提出将异构软件结构转换为马尔可夫链的算法。
By using this method, we deduced the probability generating function of the binomial distribution in the Markov dependent sequence.
利用这一方法推导了在马氏相关序列下的二项分布的概率函数。
Then this thesis presents a new approach to solve top event occurrence rate and a new generation algorithm of minimal cut sequence of dynamic fault tree that deviate from Markov model completely.
提出了一种完全脱离马尔可夫模型的求解动态故障树顶事件发生概率的方法和一种最小顺序割集的生成方法。
Generally, it is not easy to find the exact tail-estimation for the distribution of the minimum value in partial sum sequence of a stationary ergodic Markov chain.
一般情况下对平稳遍历马尔可夫链部分和序列最小值分布进行精确尾估计是较困难的。
Markov Chain is suitable for short-term forecast of great capacity sample data sequence, but gray system forecast method is suitable for medium-term forecast of few capacity sample data sequence.
马尔柯夫链适用于大样本数据序列的短期预测，而灰色系统预测方法适用于小样本数据的中期预测。
In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.
在某些情况下，甲基化的酶作用物能够从隐马尔科夫模型序列相似性网络中被推断。
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的双序列比对算法。
The method can be extended to a Markov dependent sequence and a sequence of multivariate trials.
该文的方法可推广到马氏相关序列和多变量序列也能用于其它的游程。
Random sequence Random limit logarithmic likelihood ratio Random approximation theorem Random selection Two-order Markov distribution Stochastic dominated sequence.
随机序列随机极限对数似然比随机逼近定理随机选择二重马氏分布机控制序列。
The theory of Markov chains was fruitfully applied to estimating the expected mine-sweeper casualties of the two forms of the progressive sequence sweeping technique.
为了比较这2种清扫模式下扫雷艇期望损失的大小，应用马尔可夫过程理论对这两种清扫模式的扫雷舰艇期望损失进行了一定条件下的分析。
The theory of Markov chains was fruitfully applied to estimating the expected mine-sweeper casualties of the two forms of the progressive sequence sweeping technique.
为了比较这2种清扫模式下扫雷艇期望损失的大小，应用马尔可夫过程理论对这两种清扫模式的扫雷舰艇期望损失进行了一定条件下的分析。
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