搜索资源列表
HiddenMarkovModel
- 用Matlab实现的隐蔽马尔可夫模型（Hidden Markov Model:HMM)-Hidden Markov Model(HMM) with matlab
mrfdemo
- 监督马尔可夫随机场分割方法，主程序是mrf.cpp。-supervision Markov split with the airport, the main program is mrf.cpp.
maerkefu
- 马尔可夫模型的C语言实现,用于语音识别-Markov Model C Language for Speech Recognition
CcodeofHMM
- 隐马尔可夫模型的C语言实现，经过测试准确，有要的 快下-Hidden Markov Model C language, the test accurately and quickly to the next
hmmestimate
- hmm的初始识别估计，适合学习隐马尔可夫在语音方面的应用，程序小。-the initial identification is estimated that for learning Hidden Markov in the application of voice, small procedures.
HMM-C-Algorithm
- 隐马尔可夫模型的C语言实现，人工智能算法领域的参考资料。-Hidden Markov Model C language, artificial intelligence algorithms field reference.
Markov_algorithm
- 在即算机上模拟一离散状态均匀马尔可夫链，状态数为2-imminent counting machine to simulate a discrete homogeneous state Markov chain, the number of state for two
hmm_model
- 建立语音模型－隐马尔可夫模型的实现，是统计模型-model established voice-hidden Markov model to achieve statistical model
mat_feat2
- 引进随机干扰因子，利用马尔可夫过程进行编程-introduction of random disturbance factor, using Markov processes Programming
hmm1.0
- 这是隐马尔可夫模型的C语言原代码，用户下载时，注意，这些代码都已经调试通过，您只需再重新编译一次，就可以使用了！-This is the hidden Markov model of the original C language code, download, attention, these codes have been adopted debugging, you only need to re-compile time, can use it!
markovghmm470
- 一个通用的隐性马尔可夫C代码库 开发环境:C语言 简要说明:这是一个通用的隐性马尔可夫C代码库，很好用。 -a common hidden Markov C code base development environment : C language summary statement : This is a common hidden Markov C code library is useful.
myHMMsource
- 一个马尔可夫模型的源码-a Markov model of the source
hiddenmorcov
- 这是一个笔者撰写改进了别人的隐马尔可夫模型算法的程序。-This is a writer writing improvement of the people's hidden Markov model algorithm procedures.
hmarkov
- 隐马尔可夫模型源代码，可以用于图像处理，分为前项和后项-hidden Markov model source code, can be used for image processing, is divided into former and the latter
S.Liang
- 用于实现隐马尔科夫算法的相关程序，来自美国大学网站。还可用于求解动态贝叶斯相关问题。-Hidden Markov algorithm used to implement the relevant procedures, from the American University website. Can also be used to solve dynamic Bayesian-related issues.
Markov Decision Process(MDP)
- 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)
MDP_policy
- 马可夫决策过程，适合最优策略选择，可以作为一个工具包调用(The Markoff decision process, suitable for the optimal strategy selection, can be called as a toolkit)
K-order Markov Chain in Mobile Social Networks
- 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。(w