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.
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.
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。
Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.
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.
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.
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。
In some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.
文章针对满足支持度要求的系统调用短序列，给出了特征模式的概念，并以此为基础提出了基于改进的隐马尔科夫方法(IHMM)。
In this model, the authors defined the short sequence of system calls as a character pattern if this sequence satisfied the certain support degree, and propose an improved HMM (IHMM) on this basis.
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的双序列比对算法。
A novel markov pairwise protein sequence alignment method was proposed in this thesis.
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