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 some cases, the substrate of methylation can be inferred from hidden Markov model sequence similarity networks.

在某些情况下，甲基化的酶作用物能够从隐马尔科夫模型序列相似性网络中被推断。

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Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.

近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。

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Recently, many novel methods are applied in the facial expression recognition such as Artificial Neural Networks, Support Vector Machines, Wavelet Analysis, Hide Markov Model and Optical Flow, etc.

近来，很多新的算法被应用在表情识别当中来，如：人工神经网络、支持向量机、小波分析、隐马尔可夫链模型和光流等。

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