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最大后验概率的vertbi算法的译码算法,Maximum a posteriori probability decoding algorithm vertbi algorithm
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贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa
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经典的灰度共生矩阵纹理计算方法,最大似然(ML)准则和最大后验概率(MAP)准则,从先验概率中采样,计算权重。- Classic GLCM texture calculation method, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Sampling a priori probability, calculate the weight.
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要对单变量正态分布以及分类分布两种概率分布 模型,分别采用最大似然(ML),最大后验(MAP)以及贝叶斯估计(Bayes)的 方法进行概率密度估计。 -In this paper, the maximum likelihood (ML), maximum a posteriori (MAP) and Bayesian estimation (Bayes) methods are used to estimate the probability density of two kinds of pr
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Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Synthetic Aperture Radar (SAR) imaging simulation target, Including regression analysis and probability and statistics.
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