Hidden Markov Model

Japanese: 隠れマルコフモデル - カクレマルコフモデル
Hidden Markov Model
A probabilistic model that assumes that a certain event is a Markov process and predicts the state of an original event that cannot be directly observed from limited data and information. It is used in fields such as speech recognition, pattern recognition, and natural language processing. HMM (hidden Markov model).

Source: About Shogakukan Digital Daijisen Information | Legend

Japanese:
ある事象がマルコフ過程であると仮定し、限られたデータや情報から、直接観測できない元の事象の状態を予測するための確率モデル。音声認識、パターン認識、自然言語処理などの分野で用いられる。HMM(hidden Markov model)。

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