当前分类模型主要由产生式模型和判别式模型两种，产生式模型（Generative Model）是对类内的分布建模，估计的是联合概率分布，产生所有变量上的一个概率密度模型，具有通用性、灵活性及清晰的层次结构，而且模型...
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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。
参考来源 - 基于条件随机场的中文分词研究·2,447,543篇论文数据，部分数据来源于NoteExpress
HMM是产生式模型的典型代表，ME和CRF属于条件概率模型。
HMM is a typical generative model. ME and CRF both belong to conditional model.
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。
Conditional Random Fields (CRF) is arbitrary undirected graphical model that bring together the best of generative models and Maximum Entropy Markov models (MEMM).
知识就是通过这些方式在企业中扩展，产生一个螺旋式知识创造模型。
These are the means by which knowledge is "amplified throughout the organisation, creating a spiral model of knowledge creation".
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