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隐马尔可夫模型工具包(HTK)是一种便携式工具包构建和操纵隐马尔可夫模型。 HTK主要用于语音识别的研究,虽然它已被用于许多其它应用,包括研究,语音合成,字符识别和DNA测序。 HTK是使用在世界各地的数百个网站。
该文档主要包含htkbook的中英文版本,方便HTK初学者使用和学习。-The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov
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隐马尔可夫模型前向算法matlab程序,其中
alpha为局部概率;pprob为最终的观察概率-a matlab code for Hidden Markov Model
forward algorithm.
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结合实例把隐马尔科夫模型讲解的简单易懂,值得一看-Easy to understand with an example to explain the hidden Markov model, worth a visit
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Abstract: Smartphone positioning is an enabling technology used to create new business
in the navigation and mobile location-based services (LBS) industries. This paper presents
a smartphone indoor positioning engine named HIPE that can be easily
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这是一个隐马尔可夫模型前向算法,各位亲可以下载使用,一般用于计算分类,预测,-This is a hidden Markov model before the algorithm, you can download pro, generally used to calculate the classification, prediction, etc.
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隐马尔科夫模型的不错的程序,运行简单,欢迎借鉴-Good program hidden Markov model, run a simple welcome draw
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一片关于人脸识别的文献,基于隐马尔科夫模型,很好-A piece of literature on face recognition based on hidden Markov model, a good
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文章介绍了一种基于隐马尔科夫模型的语音端点检测算法!-This paper introduces a hidden Markov model based speech endpoint detection algorithm!
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一种基于Contourlet变换的隐马尔可夫模型的图像融合-A hidden Markov model image fusion based on Contourlet transform
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隐马尔可夫模型中的在对数据进行训练时,对其模型进行初始化,在计算概率-Hidden Markov model training data when its model is initialized, the calculated probability
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hanlp源码,包括各种分词算法的实现,比如隐马尔科夫模型,条件随机场模型,N最短模型等,还有语义分析,情感分析等-hanlp source, including a variety of sub achieve segmentation algorithm, such as hidden Markov model, conditional random, N shortest models, as well as semantic analysis, sentiment analysis, e
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基于隐马尔科夫的学习资料,里面有关于隐马尔可夫模型的基本知识-Based on Hidden Markov learning materials, there are basic knowledge about hidden Markov model..
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multidimensional hidden markov model EM Algorithmus-multidimensional hidden markov model EM Algorithmus
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Hidden markov model with baum welch algo and vertibi algo
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matlab code for channel status prediction using hidden markov model in cognitive radio
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隐马尔可夫模型中的向前算法及viterbi算法代码,VC++6.0运行通过-Hidden Markov Model algorithm forward and viterbi algorithm code, VC++6.0 run through
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Matlab codes for hidden Markov model algorithms -Matlab codes for hidden Markov model algorithms
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物理马尔可夫链通常用来建模排队理论和统计学中的建模,还可作为信号模型用于熵编码技术,如算术编码(著名的LZMA数据压缩算法就使用了马尔可夫链与类似于算术编码的区间编码)。马尔可夫链也有众多的生物学应用,特别是人口过程,可以帮助模拟生物人口过程的建模。隐蔽马尔可夫模型还被用于生物信息学,用以编码区域或基因预测-Physical Markov chains are typically used to model queuing theory and statistics in modeling, b
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Hadoop隐马尔科夫模型的实现,有训练算法(EM),产生的模型参数可以用来单机使用,亲测可用,可供正在学习hadoop的同学参考-Implement Hadoop hidden Markov model, there are training algorithm (EM), the model parameters can be used to produce stand-alone use, pro-test available for reference students are lear
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隐马尔科夫模型工具箱,readme文档介绍了该工具箱的使用方法-Hidden Markov Model (HMM) Toolbox written by Kevin Murphy (1998).
Seehttp://www.ai.mit.edu/~murphyk/Software/hmm.html for details.
Models
dhmm = HMM with discrete output
mhmm = HMM with mixture of G
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