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隐马尔可夫链最佳学习范例，
研究最优化和统计语言模型的好资料-Hidden markov chain best learning paradigms,
The optimization and statistical language model of good material
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基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习-More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov
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一种基于小波域HMT（隐马尔科夫树）的去噪算法，包括小波变换函数、小波反变换函数，hmttrain HMT模型训练-A wavelet-based HMT (hidden Markov tree) denoising algorithms, including wavelet function, wavelet inverse transform functions, hmttrain HMT model training, etc.
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基于 系数分布统计特性，结合隐马尔可夫树模型和贝叶斯准则提出一种新的图像分割算法
-Based on statistical properties of the distribution coefficient combined with hidden Markov tree model and Bayesian guidelines propose a new image
segmentation algorithm
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针对含噪图像增强问题, 提出一种基于小波域三状态隐马尔可夫树模型的方法 -For noise image enhancement problems, and puts forward three state based on wavelet domain hidden markov tree model method
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Finally, probability analysis, based on the chosen database, is performed and
judgment whether the person is recognized is pronounced. Two different modeling
techniques can be suggested for purposes of person identification or verification. The
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计算语言学PPT-常宝宝
北京大学计算语言学研究所
介绍的内容有n-gram和数据平滑、熵和语言模型评价、隐马尔可夫模型、有限状态技术和形态分析-PPT-often baby Computational Linguistics Institute of Computational Linguistics of Peking University introduced n-gram content and data smoothing, entropy and the language m
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隐半马尔科夫模型实现代码,包括三个文档：初始化、前向后向算法，文档中对参数都有详尽解释-hidden semi-Markov model realization
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关于因子图和消息传递算法领域的非常经典的论文，绝对值得大家仔细阅读-A large variety of algorithms in coding, signal processing,
and artificial intelligence may be viewed as instances of
the summary-product algorithm (or belief/probability
propagation algorithm), which operates
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基于马尔可夫的HMT模型
使用EM算法进行参数训练-a hidden Markov tree model to the contourlet coefficients of images.These functions are based on the journal Directional Multiscale Modeling of Images Using the Contourlet Transform
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隐马尔可夫链模型和例程（包括前向、YolJZxb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ziyQrUe运算程序）-Hidden Markov chain model and routines (including forward, backward YolJZxb algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、YiDYfFw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BOWvzEE运算程序）-Hidden Markov chain model and routines (including forward, backward YiDYfFw algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、TFpuwXI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pSAIzgD运算程序）-Hidden Markov chain model and routines (including forward, backward TFpuwXI algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、TSQRfrv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PgfZsut运算程序）-Hidden Markov chain model and routines (including forward, backward TSQRfrv algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、jASLLYg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saWeYvm运算程序）-Hidden Markov chain model and routines (including forward, backward jASLLYg algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、oqyJnHa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qkGBAGL运算程序）-Hidden Markov chain model and routines (including forward, backward oqyJnHa algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、eujAtoO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ZvvRQWk运算程序）-Hidden Markov chain model and routines (including forward, backward eujAtoO algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、irqosuj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peuWbUq运算程序）-Hidden Markov chain model and routines (including forward, backward irqosuj algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、Zhibwiq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syRVIBw运算程序）-Hidden Markov chain model and routines (including forward, backward Zhibwiq algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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隐马尔可夫链模型和例程（包括前向、OSGhQgE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fwJBSYA运算程序）-Hidden Markov chain model and routines (including forward, backward OSGhQgE algorithm, Viterbi decoding, and in order to reduce the probability of numerical computation error of th
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