Hiqgm

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Create time: 2018-04-27 21:49:21

733762.rar -
supposebzkld.rar - Grammar analysis source code, powerful

Hidden-Markov-model-toolbox.zip - 隐马尔可夫模型工具箱，含有各种代码隐马尔可夫源代码
HMM.rar - 隐马尔可夫模型,浙江大学人工智能研究所.HMM的由来 马尔可夫性和马尔可夫链 HMM实例 HMM的三个基本算法 主要参考文献
Hidden-Markov-modelling.rar - Hidden Markov modelling of contourlet transforms for art authentication Bayesian robust hidden Markov model Hidden Markov Models for Molecular Motors When wavelet meet HMM Hidden Markov Tree model of Contourlet Transform EM for HMM Multivariate Gaussian processes
misc.rar - Probability distribution functions. estimation - (dir) Probability distribution estimation. dsamp - Generates samples from discrete distribution. erfc2 - Normal cumulative distribution function. gmmsamp - Generates sample from Gaussian mixture model. gsamp - Generates sample from Gaussian distribution. cmeans - C-means (or K-means) clustering algorithm. mahalan - Computes Mahalanobis distance. pdfgauss - Computes probability for Gaussian distribution. pdfgmm - Computes probability for Gaussian mixture model. sigmoid - Evaluates sigmoid function.
em_ghmm.zip - EM算法的MATLAB实现,EM算法是HMM中用于随机过程模型参数训练的经典算法
EM-for-HMM-Multivariate-Gaussian-processes.zip - Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement Usage ------- [logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
DHMM.rar - dhmm识别的matlab程序，使用matlab工具箱，有参考价值。
HMMSim.rar - 隐马尔科夫模型可视化程序，操作简单，GUI界面
factorialHMM.zip - Factorial hidden markov model and compute likelihood per each cycle with train test and validation set. train HMM used Backward-Forward Algorithm.
matlab_hmm.zip - hide markov model(HMM) for matlab including initiate,train,and test three parts
hmmtraining.rar - 一种HMM训练的源程序，调试可以通过，说明比较详细
HMM.rar - HMM隐马尔科夫模型源码，实现模型的训练
Main_Cor_Analysis.rar - 多元统计中的对应分析程序，提取因子之后，可对提取的公共因子按最大方差旋转。程序经多组经典数据验证通过。
FastICA_25.rar - FastICA算法工具箱，添加好工具箱后 命令行输入fasticag可运行界面
fasticag.rar - fastICA 算法中关于分离的部分，是算法中比较重要的
fastica.zip - 对混合信号进行盲源分离，从而提取出各独立成分的主程序
HMMforspeechrecogntion.rar - 一个可执行的HMM语音识别程序例程，实现了对10个数字音的识别程序，包含了HMM语音识别中的分段，MFCC特征提取，Baum-Welch训练，及Viterbi等算法，通过此例程可以很好的理解HMM的算法原理