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Description: 马尔科夫模型对io空间序列预测的例子，用到了两种预测方法-Markov model to predict sequence space io example, uses two forecasting methods
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Author: 李嘉林 |
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Description: 这个是隐markov模型中viterbi算法实现的一个具体实例程序 很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures
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Author: juliamie |
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Description: Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象-Markov with airport procedures example, the MRF for a novice who was very useful, can be visual impression
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Author: bian_zg |
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Description: This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
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Author: aaaaaaa |
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Description: Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
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Author: |
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Description: The MDP toolbox proposes functions related to the resolution of discrete-time Markov Decision Process : finite horizon, value iteration, policy iteration, linear programming algorithms with some variants.
The functions (m-functions) were developped with MATLAB v6.0 (one of the functions requires the Mathworks Optimization Toolbox) by the decision team of the Biometry and Artificial Intelligence Unit of INRA Toulouse (France).
The version 2.0 (February 2005) handles sparse matrices and contains an example
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Size: 2437120 |
Author: 劉德華 |
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Description: Markov参数是系统能观测性规范型实现时的重要参数，他给出了系统能观测性规范型的一种简单的实现方法。给出了Markov参数的定义、算法流程及运行算例，最后给出源程序！-Markov parameter is the system to standardize the type of observation when the realization of the important parameters, he gives the observation system can standardize the type of a simple method. Given the definition of Markov parameters, the algorithm processes and run an example, given the source code!
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Author: yzy |
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Description: 马尔可夫（MRF）图像分割MATLAB源码,有30几个函数。Markov随机场的例子程序,对于初学MRF的人很有用,能得到直观的印象-Markov (MRF) image segmentation MATLAB source code, 30 a number of functions. Markov random field example of the procedure, for beginner person MRF useful that they can get a visual impression
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Author: 倪昊 |
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Description: matlab 马尔科夫随机场简单的实现例子-Markov random field matlab implementation simple example
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Author: 111111111 |
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Description: 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
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Author: 冰激凌 |
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Description: 基于部分观察的马尔科夫决策过程，里面有示例，可以运行示例了解功能。-Partially observations based on the Markov decision-making process, there are examples of functional understanding can run the example.
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Size: 286720 |
Author: newland |
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Description: 摘 要 提出了一种基于样本学习的人脸肖像画自动生成算法.文章采用非均匀的马尔科夫随机场模型来描述肖
像画与人脸图像之间的统计关系 ,并使用基于训练样本的非参数化的概率表示 ,在贝叶斯优化的框架下设计了迭
代采样算法 ,可以自动的从人脸图像生成特定风格的肖像画.在该方法中 ,使用非均匀的统计模型是保持肖像中人
脸结构准确性的关键.文中所提供的例子表明了该文方法的有效性-Abstract In this paper , we present a new approach for automatically generating a life2like port rait
f rom a f rontal face image. We learn the port raiture f rom a set of real artwork examples. Different f rom
previous texture synthesis and image synthesis works that assumed modeling is homogeneous , Inhomo2
geneous Markov Random Field Model is employed as the statistical model , and a non2 paramet ric sam2
pling scheme is used to capture the complex statistical characteristics of face image and corresponding
artist drawing in this paper . In our st rategy , only those pixels corresponding to a port rait point are
sampled. Such a st rategy is crucial for maintaining facial st ructure and guaranteeing coherence of por2
t rait lines. Experimental result s demonst rate the effectiveness and life 2likeness of our approach.
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Author: alsocc |
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Description: 简单的马尔科夫算法，Markov链数据提供了有当前状态决定，而又独立于当前状态的序列，此处算法是将给定的文本串生成新的随机文本- Simple Sample of a Markov Chain Algorithm：A markov chain is a sequence of random variables in which the future variable is determined by the present variable but is independent of the way in which the present state arose from its predecessors. The code is a simple example of a markov chain that generates somewhat random text output from a given text input.
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Author: 赵河 |
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Description: 分割是在MRI analysis.We的基本问题之一，同时考虑了多种MR图像分割，其中，例如，可能是一个系列的问题经过一段时间的扫描相同的组织（的2D/3D）图像，图像的数量，或不同的切片图像的对称部分。 MR图像的多是分割份额常见的结构信息，因此他们可以协助彼此分割的程序。我们提出了一个贝叶斯共同分割算法在共享的信息整个图像是通过利用马尔可夫随机场前，和吉布斯采样后采样是有效的聘用。由于我们的共同拉动分割算法考虑到所有的图像信息的同时，它提供比个人更准确和坚实的结果分割，如支持从模拟和实际结果的例子。-Segmentation is one of the basic problems in MRI analysis.We consider the problem of simultaneously segmenting multiple MR images, which, for example, could be a series
of (2D/3D) images of the same tissue scanned over time,different slices of a volume image, or images of symmetric parts. The multiple MR images to be segmented share
common structure information and hence they are able to assist each other in the segmentation procedure. We propose a Bayesian co-segmentation algorithm where the shared information
across images is utilized via a Markov random field prior, and a Gibbs sampler is employed for efficient posterior sampling. Because our co-segmentation algorithm pulls
all the image information into consideration simultaneously,it provides more accurate and robust results than the individual
segmentation, as supported by results from both simulated and real examples.
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Author: 命运 |
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Description: 马尔可夫链的小例子,希望对初学者了解马氏链及其应用有帮助。-Matlab code of markov chain, hope it will be helpful to you
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Size: 1356800 |
Author: 车燃燃 |
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Description: 一个马尔科夫链过程的实现例子，可以通过输入文本的学习，自动输出文本。-A Markov chain process to achieve an example, you can learn to automatically output text by typing the text.
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Size: 2048 |
Author: sunwei |
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Description: 本书从简单的例子开始 ,介绍了马尔可夫决策过程的基本概念、决策过程以及一些常用 的基本理论 .还介绍了多种最优准则 , 包括有限阶段准则、折扣准则、平均准则、权重报酬准 则、概率准则等 .从模型角度考虑了有限状态空间、可数状态空间和一般 Borel 状态空间 从 决策时间上来说 , 考虑了离散时间、连续时间和半马氏决策时刻问题 .本文还介绍了大量的应 用实例以及建模方法 .本书可作为高年级大学生和研究生教材 , 也可作为运筹学、管理科学、 信息科学、系统科学以及计算机科学和工程领域的学者和技术人员的参考书 .
-From the simple example of this book introduces the basic concepts of Markov decision processes, and decision-making process as well as some common basic theory also describes the various optimal criteria, including criteria for limited stage, discounted, average criteria weights remuneration The guidelines, such as the probability criterion from the point of view of the finite state model space countable state space and general Borel state space from the decision-making time, consider a discrete-time, continuous-time and half-time Markov decision problem this article describes. a large number of application examples and modeling methods. book can serve as senior undergraduate and graduate teaching, but also as research, reference management science, information science, system science, and academics and technical staff in computer science and engineering fields.
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Author: 何鹏飞 |
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Description: 一个matlab的小例子，简要说明matlab的功能，可以作为一点点借鉴-
A small example of matlab, a brief description of the matlab function can be used as a little bit of reference
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Size: 21504 |
Author: 秦吉胜 |
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Description: 马尔可夫决策过程的例程，使用matlab实现(The example of Markov's decision-making process is implemented using MATLAB)
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Size: 8192 |
Author: jiang123aa |
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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.
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Author: franciscososasotomayor123 |
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