讨论了马尔可夫链模型在随机程序测试中的应用。
The application of Markov train model in random program testing is discussed in this paper.
采用了嵌入式马尔可夫链模型分析CNS/ATM网关系统性能。
The method uses an imbedded Markov chain to analyze the system performance.
业已证明，累积损伤的马尔可夫链模型对累积损伤过程提供了综合的描述。
Markov chain models of cumulative damage have been provided a comprehensive descriptions of cumulative damage processes.
通过对跟踪的第一帧视频中的人体区域进行手工标注，建立马尔可夫链模型。
Markov chain model is built at first by marking manually the area of human body to be tracked at the first frame of video.
利用齐次离散时间马尔可夫链模型描述了大地震沿一条活动断裂带的迁移过程。
A homogeneous discrete-time Markov chains model is used to characterize migration of large earthquakes along an active fault zone.
在此基础上，以不定长模式作为基本单位构建了一个马尔可夫链模型来检测异常行为。
Then a Markov chain model is constructed based on variable-length patterns to detect abnormal behaviors.
文章将灰色预测模型与马尔可夫链预测相结合，提出了改进的灰色-马尔可夫链模型预测方法。
By combining the grey prediction model with A. A. Mapkob, an improved model prediction method of the grey-A. A.
另外，针对一个硬件DPLL进行了测试，与马尔可夫链模型获得的结果进行比较，发现理论预测与实验能很好地吻合。
Additionally, a hardware DPLL is constructed and tested to provide a comparison to the results obtained from the Markov chain model. It is found that the theoretical predictions are in...
近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。
Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.
基于结构化p 2p路由系统的马尔可夫链模型，以平均路径长度为指标，提出了结构化P 2 P网络路由算法在网络层面的性能量化评估方法。
Based on structured P2P routing system model and Markov-chain model, this paper presents a quantitative evaluation on routing performance on the network-level of structured P2P network.
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.
在回归拟合函数的基础上，引入马尔可夫链预测理论，建立了道路交通事故的“回归-马尔可夫”复合预测模型。
Based on the regression fitting and Markov chain forecast method, the "Regression-Markov" integration model for forecasting road accidents is built in this paper.
本文通过对服从有限马尔可夫链的标的资产价格波动率进行分析，得出了在未来时刻波动的预测模型，并给出了相应的期权定价方法。
By analyzing asset price vibration rate following limited Markov chain, prediction model of future time vibration rate and related pricing method of stock option are made.
本文对BMS进行了介绍，并分别利用随机过程中马尔可夫链的知识和时间序列中的INAR(1)模型对BMS进行了研究。
This paper will first introduce BMS, then study BMS by Markov chain in stochastic process and INAR (1) model in time series.
提出了一个两层马尔可夫链异常入侵检测模型。
A new two-layer Markov chains anomaly detection model that operated on system call traces was presented.
按照可列一阶马尔可夫链方式，建立了一个具体的二阶数字锁相环的模型，并对它进行了分析。
A specific second-order digital phase-locked loop is modeled after a first-order Markov chain with alternatives, aud analyzed.
对于具有频繁场景切换的视频流量采用的是马尔可夫链调制的AR(1)模型。
Ar (1) model is used to model the video with individual scene, Markov Modulated ar (1) model is used to model the video with frequent scene changes.
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...
同时本文初步的建立了地方税收按月预测的模型，使得马尔可夫链状预测模型在应用方面得到了更大范围的拓展。
At the same time, the paper elementarily establishes the monthly local revenue forecast model, so as to make the Markov chain forecast model applied in the larger-scale.
摘要：本文将灰色系统理论与马尔可夫链相结合，运用了灰色模型—马尔可夫链预测乌鲁木齐市工业固体废弃物的方法。
Abstracts:The paper is combining Markov Model with Grey model, and forecasts the emission of solid wastes in Urumqi by establishing the Grey-Markov Forecast Model.
针对具有频繁场景切换的视频流，用马尔可夫链来模拟视频场景之间的切换，场景内部用自回归模型来建模。
For the frequently scene switching video traffic, it USES Markovian to simulate the switching among the scenes, and USES self-regression model to modeling inside the scene.
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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