为避免发电机组“检修过剩”或“检修不足”现象的发生，提出了基于马尔可夫链状态估计模型的状态检修策略。
To avoid the "over-maintenance" or "under-maintenance" in generator set maintenance decision, a maintenance strategy based on Markov chain state estimation model is presented.
根据纹理特征的局部马尔可夫性和高斯变量的条件回归之间的关系，将复杂的模型选择转变为较简单的变量选择，应用惩罚正则化技巧同步选择邻域和估计参数。
The structure of the GGM is explored by the connection between the local Markov property of texture features and the conditional regression of Gaussian random variables.
在此基于小波域隐马尔可夫树模型，将贝叶斯估计和同态滤波思想有机结合，提出一种新的医学超声图像去噪方法。
Based on wavelet domain Hidden Markov model, a novel speckle suppression method for medical ultrasound images is presented which combines Bayesian estimation and homomorphic filtering.
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。
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.
针对知识库结构，通过专家系统的推理时间研究了实时性问题，利用时间齐次马尔可夫链为专家系统知识库进行建模，并给出了相应的时间估计模型及其排列准则。
This paper takes the knowledge-base architecture as an example to study the corresponding problem of the alignment. At last, Temporally homogeneous Markov chain is used to modeling...
研究了2维隐马尔可夫模型的三个基本问题，包括概率评估问题、最优状态问题和参数估计问题。
The three basic problems of two-dimensional (2-d) hidden Markov models (HMMs) are studied, including probability evaluation, optimal states and parameter estimation.
隐马尔可夫模型参数通过期望最大化算法(EM)来估计。
最后，给出了本论文中所定义的各种奇偶马尔可夫链场、马尔可夫链场上状态出现频率的若干粗略估计。
Lastly, some coarse estimates are gained about the state occurrence frequencies for all kinds of even-odd Markov chain fields and Markov chain fields defined in the paper.
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
本文重点讨论了广义矩估计法、马尔可夫链蒙特卡罗方法和有效矩估计法这三种各具特点的随机波动模型的参数估计方法。
In this article, three estimation methods, GMM, MCMC and EMM are studied. GMM is one of the earliest methods used in SV model and its character is simple;
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