Description: 马可夫链处理文本文档，对马可夫模型的一个最基本实现-Markov chain process text files, the Markov model of a basic achievement Platform: |
Size: 28672 |
Author: |
Hits:
Description: 在现有的单层马尔科夫链异常检测模型基础上,提出一种崭新的两层模型.将性质上有较大差异的两个过程,不同的请求和同一请求内的系统调用序列,分为两层,分别用不同的马尔可夫链来处理.两层结构可以更准确地刻画被保护服务进程的动态行为,因而能较大地提高异常的识别率,降低误警报率.-In the existing single-layer Markov chain model for anomaly detection based on a new two-tier model. Will have a larger difference in the nature of the two processes, different requests and requests within the same system call sequence, sub- for a two-tier, respectively, in different Markov chain to deal with it. a two-tier structure can be more accurately portray the process of protection services by the dynamic behavior, which can greatly improve the identification of abnormal rate and reduce false alarm rate. Platform: |
Size: 356352 |
Author:杨奇 |
Hits:
Description: 基于自然语言处理方法的拼音输入法程序,主要采用马尔可夫链模型，通过求最大转移概率，获得由拼音到汉语语句的转变-Based on natural language processing methods Pinyin input method procedures, the main use of Markov chain model, by seeking the maximum transition probability, obtained from the phonetic changes in the Chinese language Platform: |
Size: 23630848 |
Author:lipeng |
Hits:
Description: 以“一主三从”主从多机通信系统为物理模型，研究应用马尔可夫链建立仿真算法及蒙特卡洛法建立了数学模型，通过将完整的系统元件化，并对每个元件创立各自的状态转移机模型，仿真运行状态，实现了对于这一通信系统的可靠性建模评估。-" One the main three from the" master-slave multi-communication system for the physical model to study the application of Markov chain Monte Carlo simulation algorithm and the mathematical model established through the will of a complete system components, and the creation of each component their respective state transition model, the simulation run, and the realization of a communication system for the assessment of the reliability of modeling. Platform: |
Size: 17408 |
Author:pobenliu |
Hits:
Description: 利用马尔科夫链进行多视图学习,该过程利用2维马尔科夫模型的一个好程序。-Markov chain of a multi-view learning, the process using two Viima Markov model is a good program. Platform: |
Size: 47104 |
Author:zhangting |
Hits:
Description: MCMC方法是一种重要的模拟计算方法，马尔可夫链蒙特卡尔理论(Markov chain Monte Carlo：MCMC)的研究对建立可实际应用的统计模型开辟了广阔的前景。90年代以来，很多应用问题都存在着分析对象比较复杂与正确识别模型结构的困难。现在根据MCMC理论，通过使用专用统计软件进行MCMC模拟，可解决许多复杂性问题。此外，得益于MCMC理论的运用，使得贝叶斯(Bayes)统计得到了再度复兴，以往被认为不可能实施计算的统计方法变得是很轻而易举了-MCMC method is an important simulation methods, Markov chain Mengtekaer theory (Markov chain Monte Carlo: MCMC) research on the establishment of the practical application of the statistical model can be opened up broad prospects. Since the 90' s, there are a lot of application problems are more complex object model structure with the correct identification difficult. Now under the MCMC theory, through the use of special statistical software MCMC simulation can solve many complex problems. In addition, thanks to the use of MCMC theory makes Bayesian (Bayes) statistics have been re-revival in the past that were considered impossible calculation of statistical methods is very easy to become a Platform: |
Size: 2323456 |
Author:曹哥 |
Hits:
Description: 数学建模算法 马氏链模型 神经网络模型 时间序列模型 图与网络-Mathematical modeling algorithm Markov chain model neural network model and network time series model diagram Platform: |
Size: 176128 |
Author:aaa |
Hits:
Description: 介绍了马氏链模型的原理、方法和运用，并有详细的事例进行了说明。-Introduces the principle, method and application of Markov chain model, and detailed examples are illustrated. Platform: |
Size: 214016 |
Author:t |
Hits:
Description: 根据实际风速时间序列，建立风速的马尔可夫链模型-According to the actual wind speed time series, the Chian Markov of the wind speed is established. Platform: |
Size: 531456 |
Author:槛外人 |
Hits:
Description: full code to generate the code for markov chain and the code for generating EESA model for wireless sensor network Platform: |
Size: 48128 |
Author:cloudaddict |
Hits:
Description: 针对移动社交网络中节点中心性预测问题，提出基于K阶马尔科夫链的中心性预测方法。在真实移动社交数据集的中计算信息熵分析节点中心性的过去与未来规律性，研究了节点中心性的可预测性。利用节点中心性的历史信息，构建状态转移概率矩阵，预测节点未来中心性值, 并通过分析真实值与预测值之间的误差评估了这些预测方法的性能。结果表明，当阶数K=2时，与四种基于时窗的中心性预测方法比较，基于K阶马尔科夫链的预测模型在MIT数据集和Infocom 06数据集中虽不在个体上优于已提出的预测方法，但在整体上达到了优化。(we proposed a centrality prediction method based on K-order Markov chains to solve the problem of centrality prediction in mobile social networks. In the real mobile social data set, the information entropy of the computation is used to analyze the past and future regularity of the node's centrality, and the predictability of the node's centrality is verified. Using the historical information of the center of the node, the state probability matrix is constructed to predict the future central value of the node. Through the analysis of the error between real value and predicted value, we evaluate the performance of the prediction methods. The results show that the prediction model based on the K-order Markov chain when K=2 is not optimized on the individual on the MIT dataset and the Infocom 06 data set, but on the whole to achieve the optimization.) Platform: |
Size: 21229568 |
Author:garyppap |
Hits:
Search - markov chain model