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1. 发明申请

US20110010176A1 HMM LEARNING DEVICE AND METHOD, PROGRAM, AND RECORDING MEDIUM 有权
标题翻译： HMM学习设备和方法，程序和记录介质
公开(公告)号：US20110010176A1
公开(公告)日：2011-01-13
申请号：US12829984
申请日：2010-07-02
申请人： Yukiko YOSHIIKE , Kenta Kawamoto , Kuniaki Noda , Kohtaro Sabe
发明人： Yukiko YOSHIIKE , Kenta Kawamoto , Kuniaki Noda , Kohtaro Sabe
IPC分类号： G10L15/14
CPC分类号： G06N99/005
摘要： An HMM (Hidden Markov Model) learning device includes: a learning unit for learning a state transition probability as the function of actions that an agent can execute, with learning with HMM performed based on actions that the agent has executed, and time series information made up of an observation signal; and a storage unit for storing learning results by the learning unit as internal model data including a state-transition probability table and an observation probability table; with the learning unit calculating frequency variables used for estimation calculation of HMM state-transition and HMM observation probabilities; with the storage unit holding the frequency variables corresponding to each of state-transition probabilities and each of observation probabilities respectively, of the state-transition probability table; and with the learning unit using the frequency variables held by the storage unit to perform learning, and estimating the state-transition probability and the observation probability based on the frequency variables.
摘要翻译： HMM（隐马尔可夫模型）学习装置包括：用于学习作为代理可以执行的动作的函数的状态转移概率的学习单元，基于代理已经执行的动作执行的HMM的学习以及作出的时间序列信息观察信号; 以及存储单元，用于将所述学习单元的学习结果存储为包括状态转换概率表和观察概率表的内部模型数据; 学习单元计算用于HMM状态转换和HMM观察概率的估计计算的频率变量; 存储单元保持状态转移概率表中分别对应于状态转换概率和每个观察概率的频率变量; 并且所述学习单元使用由所述存储单元保持的频率变量来执行学习，并且基于所述频率变量来估计所述状态转换概率和观察概率。

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