• HTK: Delve into this portable toolkit for building and manipulating hidden Markov models.

    HTK:这是一个用于构建和操纵隐马尔可夫模型的便携式工具包。

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  • Bioinformatics is a new cross-subject, and Hidden Markov models are widely used in it.

    生物信息学是一门新兴交叉学科,隐马模型是广泛用于该学科的数学模型。

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  • The purpose of this is to study the mixing property of hidden nonhomogeneous Markov models.

    本文的主要目的是研究隐非齐次马尔可夫模型的混合性。

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  • Secondly, we propose a new method based on hidden Markov models and video images to predict channel fading.

    其次,我们基于隐藏式马尔可夫模型与影像讯号提出了一个新的通道衰落预测方法。

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  • Our off-line cursive English word recognition system was based on HMM (Hidden Markov Models) and blur segmentation.

    介绍了一个基于隐马尔科夫模型的、采用模糊分割方式的脱机手写英文单词识别系统。

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  • Pfam is a large collection of multiple sequence alignments and hidden Markov models covering many common protein families.

    为一包含了许多多重序列校准,以及“隐藏式马尔科夫模型”的巨大集合,里面涵盖了许多常见的蛋白质家族。

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  • Presents a new hybrid framework of hidden Markov models (HMM) and radial basis function (RBF) neural networks for speech recognition.

    提出了一种隐马尔可夫模型(HMM)和径向基函数神经网络(RBF)相结合的语音识别新方法。

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  • In chapter 5 ~ (th), by utilizing the Markov models of credit transition probability matrix, we study the problem of forward loan pricing.

    第五章采用信用转移的马氏链模型,研究了远期贷款定价问题。

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  • This type of problem occurs in speech recognition where a large number of Markov models will be used, each one modelling a particular word.

    这种类型的问题出现在需要使用大量马尔科夫模型的语言识别中,每一个模型对特定的一个词建模。

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  • The use of hidden Markov models (HMM) for faces is motivated by their partial invariance to variations in scaling and by the structure of faces.

    隐马尔可夫模型(HMM)在人脸识别中的运用是由HMM在图像定标变化过程中的局部恒定性和人脸的结构所决定的。

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  • Traditional training methods for hidden Markov models, such as Baum Welch method can only lead to local optima, which reduces the recognition rate.

    计算机模拟实验显示,经该方法预处理后的语音送入隐马尔柯夫模型的语音识别系统比传统算法有更高的识别率。

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  • To enable hidden Markov models to account for dependencies between non-adjacent observation symbols, time-delay is introduced to standard high order HMM states.

    为使得隐马尔可夫模型(HMM)能够处理非相邻可见符号之间的依赖关系,将延时机制引入标准的HMM中。

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  • The three basic problems of two-dimensional (2-d) hidden Markov models (HMMs) are studied, including probability evaluation, optimal states and parameter estimation.

    研究了2维隐马尔可夫模型的三个基本问题,包括概率评估问题、最优状态问题和参数估计问题。

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  • Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.

    针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型(HMM)的不足,提出了贝叶斯决策树模型。

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  • The problem of signal processing in north-finders has been studied. The wavelet-based hidden Markov models (WHMM) are used to denoise the Gyros output signals in continuous rotary north-finders.

    研究寻北仪惯性传感器信号处理问题,采用基于小波域的隐马尔可夫模型(WHMM),对连续旋转式寻北仪陀螺的输出信号进行降噪处理。

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  • At first some properties on nonhomogeneous Markov models are obtained in the lemma, then a limit theorem for the average of the three variables function of hidden nonhomogeneous Markov model is given.

    首先在引理中得出了隐非齐次马尔可夫模型的一些性质,从而导出了隐非齐次马尔可夫模型的三元函数一类平均值的强极限定理。

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  • At first some properties on nonhomogeneous Markov models are obtained in the lemma, then a limit theorem for the average of the three variables function of hidden nonhomogeneous Markov model is given.

    首先在引理中得出了隐非齐次马尔可夫模型的一些性质,从而导出了隐非齐次马尔可夫模型的三元函数一类平均值的强极限定理。

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