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markov process

/ˈmɑːrkɒf ˈprɒsɛs/

翻译: 马尔可夫过程是一种随机过程,其未来状态只取决于当前状态,而与更早的历史无关,以数学家安德烈·马尔可夫命名。

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phrase

/ˈmɑːrkɒf ˈprɒsɛs/C1formalscientific
  • zh马尔可夫过程是一种随机过程,其未来状态只取决于当前状态,而与更早的历史无关,以数学家安德烈·马尔可夫命名。

A stochastic process in which the future state depends only on the present state, not on the sequence of events that preceded it, named after mathematician Andrey Markov.

  1. Stochastic process with memoryless propertyC2formal

    A random process where the future state depends only on the current state, not on the sequence of events that preceded it.

    zh无记忆性的随机过程

    • The Markov process is used to model weather patterns.
    • In a Markov process, the probability of moving to the next state is determined solely by the present state.
    • Many algorithms in machine learning rely on the Markov process assumption.