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向前-向后算法
释义
向前-向后算法
Encyclopedia
文学
计算语言学
释
forward-backward algorithm
向前-向后算法
从隐马尔可夫模型的参数λ= (A,B)的某个初始估计开始(λ是模型参数;A是转移概率;B是发射概率),迭代地运行期望化和最大化两个步骤,向前向后不断地重估A和B的概率,对于给定观察序列O和隐马尔可夫模型中可能状态的集合,自动地训练隐马尔可夫模型的参数A和B,这样的算法叫作向前-向后算法。又称鲍姆-韦尔奇算法(Baum-Welch algorithm)。
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coefficient of deformation
coefficient of determination
coefficient of diffusion
coefficient of dilatation
coefficient of divergence
coefficient of elasticity
coefficient of excess
coefficient of expansion
coefficient of friction
coefficient of harmonic distortion
coefficient of hydrodynamic dispersion
coefficient of isobaric expansion
coefficient of kurtosis
coefficient of linear expansion
coefficient of multiple correlation
coefficient of mutual induction
coefficient of nondetermination
coefficient of opacity
coefficient of performance
coefficient of performance for cooling
coefficient of performance for heating
coefficient of permeability
coefficient of proportionality
coefficient of raised path throuth fields
coefficient of rank correlation
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