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Method and apparatus that carries out self-organizing of internal states of a state transition prediction model, and obtains a maximum likelihood sequence
Method and apparatus that carries out self-organizing of internal states of a state transition prediction model, and obtains a maximum likelihood sequence
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机译:进行状态转移预测模型的内部状态的自组织并获得最大似然序列的方法和装置
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摘要
An information processing device includes a model learning unit that carries out learning for self-organization of internal states of a state transition prediction model which is a learning model having internal states, a transition model of the internal states, and an observation model where observed values are generated from the internal states, by using first time series data, wherein the model learning unit learns the observation model of the state transition prediction model after the learning using the first time series data, by fixing the transition model and using second time series data different from the first time series data, thereby obtaining the state transition prediction model having a first observation model where each sample value of the first time series data is observed and a second observation model where each sample value of the second time series data is observed.
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