搜索资源列表
hsmm_new
- 提供HSMM隐半马尔科夫的前向后向算法。可用于模式识别-Hidden semi-Markov providing HSMM back to the first algorithm. Can be used for pattern recognition
MRFtoyexample
- 一种基于马尔科夫随机场的图像分割matlab源码，包含ICM迭代条件模式求解最大后验概率算法，已通过测试。-Markov random field based image segmentation matlab source code, including the ICM iteration conditions for solving the maximum a posteriori probability model algorithm has been tested.
Gibbs
- MCMC（马尔科夫链蒙特卡洛）中对于高斯分布的Gibbs采样算法-MCMC Gibbs Sampler
blogreg
- 实现在参数先验是高斯分布情况下，利用马尔科夫链蒙特卡洛算法来对Logistic 回归模型参数的后验分布进行抽样 -It implements different Markov Chain Monte Carlo strategies for sampling from the posterior distribution over the parameter values for Logistic Regression models with a Gaussian prior on th
MDPtoolbox
- 马尔科夫决策过程值迭代算法value iteration，策略迭代等函数代码，从国外网站下载，非常详细，有用。-Markov decision process value iteration algorithm value iteration, policy iteration and so the function code, from the foreign website, very detailed and useful.
HMMtest
- 采用隐马尔科夫HMM算法对语音进行识别的源程序-Using Hidden Markov HMM algorithm to identify the source of the voice
FusionSegmentationAlgorithm
- 针对合成孔径雷达(SAR) 图像含有大量斑点噪声的特点,基于Contourlet 的多尺度、局部化、方向性和各向 异性等优点,并结合隐马尔科夫树( HMT) 模型和隐马尔科夫场(MRF) ,提出了一种基于Contourlet 域持续性和聚 集性的SAR 图像模糊融合分割算法。该算法有效捕获了Contourlet 子带的持续性和聚集性,并分别用HMT 和 MRF 来刻画,再依据模糊测度,将多尺度HMT 和MRF 有机融合,建立Contourlet 域HMT2MRF 融合模型,并导
AnintroductiontoHMMs
- 隐马尔科夫算法详细的介绍，英文版的，经典-Hidden Markov algorithm detailed introduction in English
IMM
- IMM算法的matlab仿真代码 关键词：交互式多模型 马尔科夫转移矩阵-IMM algorithm matlab simulation code Keywords: interactive multiple model Markov transition matrix
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.
dramcode
- DRAM算法，是一种改进型的蒙特卡罗马尔科夫链（MCMC）采样方法，该算法基于经典的MCMC算法，在此基础上增加了改进策略，是算法能够更快速稳定的收敛。-DRAM algorithm is an improved Mirkov chain (MCMC) sampling method, the algorithm is based on the classic MCMC algorithm, based on the increase in the improvement of this str
mcmcsum
- 马尔科夫链蒙特卡洛算法的一个例子，希望有所帮助-Markov chain Monte Carlo algorithm is an example to help
Manhattan
- 马尔科夫前向算法，马尔科夫链算法，马尔科夫一阶算法 -forward algorithm
forward-algorithm.m
- 马尔科夫链，马尔科夫一阶算法，隐马尔科夫算法-forward algorithm
MDP
- 马尔科夫决策过程，强化学习的一种算法。主要用于机器人。-Markov process decision
hmmrecognition
- 语音识别基于隐形马尔科夫算法，进行特定的汉字识别-Speech recognition based on hidden Markov algorithm, make specific character recognition
matlab经典算法程序
- 用正常状态下的特征样本作为模型的观测值对CHSMM进行训练，然后将待测的特征样本输入模型，得到待测样本相对于所建立正常模型的输出概率。(The characteristic samples of normal state are used as the observation value of the model to train the CHSMM, and then the sample input model of the sample to be tested is obtained,
hmm
- 解决隐马尔科夫问题中的MATLAB程序，包含前后向算法，Viterbi求解，BaumWelch求解(MATLAB in solving the problem of hidden markov, including front and back to the algorithm, Viterbi, BaumWelch solution)
算法
- 马尔科夫蒙特卡洛算法的MATLAB应用示例(code for MCMC in MATLAB)
基于马尔科夫算法的车辆行驶工况构建
- 用马尔科夫算法对行驶工况的车速进行预测，效果很好。(I use Markov algorithm to predict vehicle speed in driving conditions.)