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hmm.zip
- 隐马尔可夫链模型和例程（包括前向、后向算法、Viterbi解码以及为了减少概率数值计算误差编写的对数运算程序）,Introduction to Hiden Markov Model and Example Codes
MachineLearning
- 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 im
MCMC
- 北大于江生教授有关蒙特卡洛方法和马尔科夫链的两个PPT（PDF格式）：An Introduction to MCMC for Machine Learning、Monte Carlo统计方法。共396页-Peking University Professor Yu Jiangsheng on Markov chain Monte Carlo method and the two PPT (PDF format): An Introduction to MCMC for Machine Learn
facerecognition
- 采用OpenCV进行人脸识别，隐马尔科夫链的应用，由混合分量来分割HMM的每个内在状态的所有观测值，运用现有的图像观测值分割为所有嵌入和内部的HMM函数，计算可能的变换矩阵-Using OpenCV for face recognition, hidden Markov chain applications, from the mixed components to split the internal state of each HMM all observations, use of the
textureclassfication
- 提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果. -Based on the function connected perceptron neural network tex
SimulationandMonteCarlo
- the book <<Simulation and Monte Carlo With applications in finance and MCMC >> about MONte carlo method applying to finance problem and markov chain and markov decision process.
HMM2
- 多序列hmm模型代码，用于隐马尔科夫双观察序列的问题，例子是指硬币，c++实现-Multiple sequence hmm model code for the hidden Markov sequence of pairs of observed problems, examples refers to the coins, c++ implementation
PSOHMM12
- 用于单序列观察。pso粒子群算法与隐马尔科夫模型的结合，用粒子群优化算法度模型参数进行优化，这个适用于单序列观察-For single sequence of observations. pso particle swarm algorithm with a combination of hidden Markov model, using particle swarm optimization algorithm to optimize the degree of model paramete
Markov.Chains.Particle.Filter.Monte.Carlo
- The book: Hidden Markov Models (Theory & Methods) Markov Chains Particle Filter Monte Carlo
umdhmm-v1.02
- Hiden Markov Model的C语言实现，目前比较好的一个实现。用于机器学习，模式识别，分类算法-Hiden Markov Model of the C language, an implementation of the present better. For machine learning, pattern recognition, classification algorithm
HMM
- This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. T
HMM
- 隐马尔科夫模型(Hidden Markov Model, HMM)是对马尔科夫模型的一种扩充。 隐马尔科夫模型的基本理论形成于上世纪60年代末期和70年代初期。隐马尔科夫模型在计算语言学中有着广泛的应用。例如隐马尔科夫模型在词类自动标注中的应用。 该课件较详细的介绍了HMM，并有生动的实例及比喻帮组理解-Hidden Markov Model
SKIN-DETECTION-USING-A-MARKOV-RANDOM-FIELD-AND-A-
- In this paper, human skin detection is performed using a new color space coordinate and a Markov random fi eld based approach.
Markov
- ContinuousTimeMarkovProceses 详细讲解了连续时间马尔可夫过程 撰写时间是2004年，E.H.F-Continuous Time Markov Proceses.
MCMC
- MARKOV CHAIN MONTE CARLO算法原理及其实际应用-AN INTRODUCTION TO MARKOV CHAIN MONTE CARLO METHODS AND THEIR ACTUARIAL APPLICATIONS
BUGS-for-a-Bayesian-analysis
- Markov chain Monte Carlo integration
Hidden-Markov-algorithm
- 隐马尔可夫算法的实现，其中包括前向算法，后向算法，Viterbi算法，Baum-Welch算法-Hidden Markov algorithm, including backward algorithm, Viterbi algorithm, Baum-Welch algorithm to the algorithm,
MARKOV
- 隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。-Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.
-hidden-Markov-models.pdf.tar
- 介绍了隐马尔科夫模型和它在语音识别方面的应用-A tutorial on hidden Markov models and selected applications on speech recognition
Applied Semi-MARKOV Processes
- 用于有限状态的半马尔柯夫过程的理论、建模计算及应用(This book aims to give a complete and self-contained presentation of semi-Markov processes with finitely many states, divided into three major topics: theory, computation, and application in a correct approach for buildin