搜索资源列表
chmmbox_1_2
- CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. aposteriori estimation of two chain Coupled Hidden Markov Models. -CHMMBOX, version 1.2, Iead Rezek, Oxford University, Feb 2001 Matlab toolbox for max. apo
IDEA
- Markov密码的(差分链)转移概率矩阵是双随机矩阵,其第二大(模)特征值对于确定Markov密码必要的迭代轮数有重要价值。该程序由本人编写,实现了求IDEA密码的缩小模型IDEA(8)的转移概率矩阵П0第二大(模)特征值-Markov password (differential chain) transition probability matrix is a doubly stochastic matrix, its second largest (modulus) eigenvalue
Wapiti-master
- python-wapiti is a python wrapper for wapiti (http://wapiti.limsi.fr), a very nice sequence labeling tool with support for maxent models, maximum entropy Markov models and linear-chain CRF.
generalchain
- general chain of markov
Cohort_Transitions
- Transition matrices calculation from rating lists
puftiple-existence
- A Markov Chain Monte Carlo version of the genetic algorithm D()
实验代码
- 实验可以用,主要应用于数字岩心的建立,基于马尔科夫链法,建立孔隙网络模型(Experiment can be used, mainly used in the establishment of the digital core, based on the markov chain method, the pore network model is established)
mcmc
- 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。(The MCMC method is
benefit
- A Markov Chain Monte Carlo version of the genetic algorithm D()
mcmcexamples
- 基本的马尔可夫链程序,几个简单的数值算例,matlab运行程序(The basic Markov chain program, several simple numerical examples, Matlab running program)
gibbs
- 吉布斯(Gibbs)抽样方法是 Markov Chain Monte Carlo(MCMC)方法的一种,也是应用最为广泛的一种(The simplest Gibbs sampling is a special case of Metropolis-Hastings algorithm, while the extension of Gibbs sampling can be regarded as a universal sampling system. This system takes a
mcmc的matlab代码
- 马尔科夫链蒙特卡洛模拟,用于金融数学模型的参数估计等作用。(markov chain monte carlo simulation is used to be parameter estimation for financial mathematical models.)
转移概率矩阵计算的一种统计方法
- 利用马尔可夫链进行预测 , 其关键是转移概率矩阵的计算 。 本文给出了计算转移概率矩阵的一种统计方法 ,并且给出了实例计算 ,目的是为企业进行科学管理和决策提供科学依据 。(The key to prediction using the Markov chain is the calculation of the transition probability matrix. This paper presents a statistical method for calculating the
A Markovian
- 本文对社交网络平台管理的过滤算法对集体意见的影响进行了建模和研究。提出了一种随机多主体意见动力学模型,该模型考虑了个体间相互作用强度的集中调整。每一种意见的演变都用马尔可夫链来描述,其转化率通过影响参数受到邻居意见的影响。在一般情况下以及在特殊情况下研究了该模型的性质。(In this paper,the effect on collective opinions of filtering algorithms managed by social network platforms is mod
Mariana
- 使用模拟退火算法进行SVM超参数优化,NASA 开源软件。(Mariana is an algorithm that efficiently optimizes the hyperparameters for Support Vector Machines for regression and classification. It currently uses Simulated Annealing for optimization but can be extended to use a va
hsmm
- 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process
rwm
- 用random walk metropolis算法计算标准正态分布的收敛(Using Markov Chain Monte Carlo Method to Calculate the Convergence of Standard Normal Distribution)
MCMC
- 目标参数分布情况很复杂,我们想求相关的目标参数(f(x))很难,所以想通过MCMC从目标函数采取样本估计我们想要的结果,大致流程构造一条马尔可夫链去逼近目标函数,从其稳态装下抽取样本。(The distribution of target parameters is very complicated, and it is difficult for us to find the relevant target parameters (f (x)), so we want to use MCMC