Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
条件随机场是一种无向图模型，它具有产生式模型和最大熵马尔可夫模型的优点。
METHOD: the principle of Markov model was expounded and its application in the forecasting of drug market was illustrated with examples.
方法：阐述马尔科夫模型的原理，通过实例说明其在药品经济预测中的应用。
This paper focuses on the research of image recognition based on the hidden Markov model.
本文基于隐马尔可夫模型进行图像识别问题的研究。
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