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https://louishsu.xyz/2018/11/13/Hidden-Markov-Model/
前言隐马尔科夫模型(Hidden Markov Model, HMM)可用于标注问题,描述由隐藏的马尔科夫链随机生成观测序列的过程,属于生成模型。在语音识别、自然语言处理、生物信息等领域有广泛的应用。 基本概念定义定义:隐马尔科夫模型是关于时序的概率模型,描述有一个隐藏的马尔科夫链随机生成不可观测的状态随机序列(state sequence),再由各个状态生成一个观测,多个时刻的观测组成观测随机序
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https://louishsu.xyz/2018/11/13/Hidden-Markov-Model/
前言隐马尔科夫模型(Hidden Markov Model, HMM)可用于标注问题,描述由隐藏的马尔科夫链随机生成观测序列的过程,属于生成模型。在语音识别、自然语言处理、生物信息等领域有广泛的应用。 基本概念定义定义:隐马尔科夫模型是关于时序的概率模型,描述有一个隐藏的马尔科夫链随机生成不可观测的状态随机序列(state sequence),再由各个状态生成一个观测,多个时刻的观测组成观测随机序
The text was updated successfully, but these errors were encountered: