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[AlgorithmMonteCarlointegrationwithMarkovchain

Description: 译本,一本关于数学马氏链好书,中英文齐全-Translation of a book about math Markov chains, in both Chinese and English complete
Platform: | Size: 47104 | Author: likun | Hits:

[Windows DevelopProbability_and_Information_An_Integrated_Approac

Description: This an updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textbook for beginning students in mathematics, statistics, computer science or economics, the only prerequisite is some knowledge of basic calculus.-This is an updated new edition of the popular elementary introduction to probability theory and information theory, now containing additional material on Markov chains and their entropy. Suitable as a textbook for beginning students in mathematics, statistics, computer science or economics, the only prerequisite is some knowledge of basic calculus.
Platform: | Size: 1320960 | Author: moatasem momtaz | Hits:

[Program docDTMC

Description: Foreign materials as well as Solving Discrete-Time Markov Chains,ece document.
Platform: | Size: 400384 | Author: sotiiis | Hits:

[Graph programQueueing

Description: Queueing network and markov chains problem program
Platform: | Size: 401408 | Author: ahmet | Hits:

[Windows Developt

Description: 介紹密碼被crack的原因,很貴的論文 -This paper surveys various techniques that have been used in public or privates tools in order to enhance the password cracking process. After a brief overview of this process, it addresses the issues of algorithmic and implementation optimisations, the use of special purpose hardware and the use of the Markov chains tool. Experimental results are then shown, comparing several implementations.
Platform: | Size: 225280 | Author: | Hits:

[AI-NN-PRMarkov.Chains.Particle.Filter.Monte.Carlo

Description: The book: Hidden Markov Models (Theory & Methods) Markov Chains Particle Filter Monte Carlo
Platform: | Size: 4318208 | Author: Dang Tran Vu | Hits:

[matlabhmmbox_3_2

Description: Hidden Markov Model (HMM) Toolbox written by Kevin Murphy A problem of fundamental interest is characterizing such real-world signals in terms of signal models. HMM is referred to as Markov sources or probabilistic functions of Markov chains in the communications literature.
Platform: | Size: 716800 | Author: iwan | Hits:

[Otherrabiner

Description: Hidden Markov Model manual book based on Markov Chains equations developed by Rabiner and fellow
Platform: | Size: 2182144 | Author: iwan | Hits:

[Othermarkov

Description: 一个基于马尔可夫链算法的思想编写的自动写文章的程序,输入一篇文章后,可以自动的输出一篇文章。-An algorithm based on Markov chains prepared by the idea of automatic procedures for writing articles, enter an article, you can automatically output of an article.
Platform: | Size: 2048 | Author: 李志彤 | Hits:

[OtherMarkov_Chains

Description: a book chapter about Markov Chains-Introduction Most of our study of probability has dealt with independent trials processes. These processes are the basis of classical probability theory and much of statistics. We have discussed two of the principal theorems for these processes: the Law of Large Numbers and the Central Limit Theorem.
Platform: | Size: 361472 | Author: Chris Leung | Hits:

[matlabBirthDeath

Description: File for markov chains
Platform: | Size: 86016 | Author: harjit | Hits:

[OtherMarkovChainsGibbsFieldsMonteCarloSimulationandQueu

Description: Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues. 纯粹的数学书,理论性的,不多介绍了,看各位是否需要. -Markov Chains: Gibbs Fields, Monte Carlo Simulation and Queues
Platform: | Size: 8738816 | Author: wangjin | Hits:

[matlabMarkov-processes

Description: 馬可夫鍊的MATLAB程式撰寫和過程 -Markov chains and processes the MATLAB programming
Platform: | Size: 3072 | Author: 林信宏 | Hits:

[matlabMarkov-Chains-examples-with-codes

Description: 马尔科夫链的matlab仿真,马尔可夫模型(Markov Model,MM)是统计模型,它用来描述一个含有隐含未知参数的马尔可夫过程。-Matlab simulation of Markov chains, Markov models (Markov Model, MM) is a statistical model, which is used to describe an unknown parameter containing hidden Markov process.
Platform: | Size: 169984 | Author: 李想 | Hits:

[OtherMarkov-Chains

Description: Markov Chains tutorial
Platform: | Size: 361472 | Author: ashwinixar | Hits:

[matlabMarkov.m

Description: 物理马尔可夫链通常用来建模排队理论和统计学中的建模,还可作为信号模型用于熵编码技术,如算术编码(著名的LZMA数据压缩算法就使用了马尔可夫链与类似于算术编码的区间编码)。马尔可夫链也有众多的生物学应用,特别是人口过程,可以帮助模拟生物人口过程的建模。隐蔽马尔可夫模型还被用于生物信息学,用以编码区域或基因预测-Physical Markov chains are typically used to model queuing theory and statistics in modeling, but also as a signal model for entropy coding techniques such as arithmetic coding (famous LZMA data compression algorithm on the use of Markov chain and similar in arithmetic coding interval encoding). Markov chains also have many biological applications, particularly population processes, can help the process simulation modeling biological populations. Hidden Markov models are also used bioinformatics to the coding region or gene prediction
Platform: | Size: 1024 | Author: 肖聪 | Hits:

[BooksELM-with-Markov-chains

Description: Generalization ability of extreme learning machine with uniformly ergodic Markov chains
Platform: | Size: 1281024 | Author: yuanpeipei | Hits:

[OtherParameter estimation for hidden Markov chains

Description: Parameter estimation for hidden Markov chains
Platform: | Size: 171008 | Author: jsj.brainstorm | Hits:

[Communication-MobileK-order Markov Chain in Mobile Social Networks

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:

[matlabMarkov-Switching

Description: This code performs the univariate analysis of Markov-Switching model. The model shows step by step the implementation of Markov Chains to estimate multiple states and asymmetries in time series. The example is performed ovr the United States GNP.
Platform: | Size: 2352 | Author: franciscososasotomayor123 | Hits:
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