关于隐马尔可夫模型和条件随机场的混淆
我对隐马尔可夫模型和条件随机场有点困惑。我想知道它们是监督学习方法还是无监督学习方法？ 谢谢
I am a bit confused about Hidden Markov Models and Conditional Random Fields. I wanna know id they are supervised or un-supervised learning methods?
Thanks
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我读了几篇论文，它们都是有监督的方法，并且需要一个标记的训练集来进行训练。
Well as I read several papers, they are both supervised methods and they need a labeled training set to be trained on.
两者都不。它们是知识底层表示的模型。训练期间发生的情况是，某些转变被强化后，概率会更高。
Neither. They're models for the underlying representation of knowledge. What happens during training is that certain transitions, being reinforced, become higher probability.