Updating hidden conditional random field model parameters after processing individual training samples

• 1. 用于语音分类和语音识别的隐藏条件随机场模型 [P] . 中国专利： CN1760974A . 2006-04-19
• 2. 自我学习更新训练样本的高效质检模型构建方法及系统 [P] . 中国专利： CN109359664A . 2019-02-19
• 3. Updating hidden conditional random field model parameters after processing individual training samples [P] . 美国专利： US2007067171A1 . 2007-03-22

  机译： 处理单个训练样本后更新隐藏的条件随机场模型参数

• 4. ACTIVITY RECOGNITION METHOD BASED ON A SEMI MARKOV CONDITIONAL RANDOM FIELD MODEL, PARTICULARLY FOR SIMULTANEOUSLY PROGRESSING TRAINING AND DEDUCTION IN A SEMI MARKOV CONDITIONAL RANDOM FIELD MODEL [P] . 韩国专利： KR20110034828A . 2011-04-06

  机译： 基于半马尔可夫条件随机场模型的活动识别方法，特别是在半马尔可夫条件随机场模型中同时进行训练和演绎的方法

• 5. Learning device using Conditional Random Fields or Global Conditional Log-linearModels, and parameter learning method and program in the learning device [P] . 日本专利： JP5295037B2 . 2013-09-18

  机译： 使用条件随机场或全局条件对数线性模型的学习设备，以及学习设备中的参数学习方法和程序

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• 1. Chunk Parsing and Entity Relation Extracting to Chinese Text by Using Conditional Random Fields Model [J] . Junhua Wu ,Longxia Liu . 智能学习系统与应用（英文） . 2010,第3期
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