• Based on which, Posterior Probability measure is developed.

    据此建立了最大后验概率指标

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  • Values of Bayesian posterior probability greater than 0.8 are shown at the nodes.

    先验概率大于0.8分支节点处

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  • Histogram of posterior probability distribution for earthquake to occur on various fault groups.

    1地震发生各组断层后验概率分布直方图fig。

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  • The posterior probability is computed from the prior and the likelihood function via Bayes' theorem.

    先验概率验概率有不可分割联系,后验概率的计算要以先验概率为基础。

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  • In the process, we calculate the posterior probability of semantics by unlabeled samples information.

    计算过程中使用了未标记样本的信息计算语义出现概率

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  • Then the segmentation problem is formulated as Maximum a Posterior Probability (MAP) estimation rule.

    分割问题可以转换成一种最大后验概率估计问题。

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  • Another benefit of Posterior Probability measure is the low computational complexity and obvious global maximum.

    这种指标另一突出优点计算复杂度很低容易得到全局最优解

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  • A SVM model based on the posterior probability is bring forward by using a commercial bank's housing credit data.

    利用商业银行住房信贷数据构建了基于概率的支持向量机评估模型

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  • A multiple sensor information fusion algorithms-posterior probability detection algorithms is presented and applied to target identification.

    提出一种用于目标识别传感器雅息融合算法—后概率检测算法。

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  • It is proven that with specific parameter, Background Suppressed similarity measure is equivalent to the posterior probability of the matched feature.

    证明,特殊参数时背景抑制指标等价特征匹配概率

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  • The available methods for watermarking detection include related detection, maximum plausible detection and maximum posterior probability detection, etc.

    通常水印检测策略主要有线形相关检测、最大似然检测、最大概率检测策略。

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  • Simultaneously, this method provides the posterior probability density and the error bars of estimated weights, which deduces the uncertainty of reconstruction.

    方法同时还给出了估计概率密度误差从而获得权值最优值的不确定性测量。

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  • Secondly, taking the posterior probability as the target distribution, the Adaptive Metropolis algorithm was used to construct the Markov Chains of unknown parameters.

    接着以后验概率分布目标分布采用适应Metropolis算法构造Markov链;

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  • In the process of recognition, the prior probability is supposed to be the same, the posterior probability is calculated according to GMM, and then the instrument class is determined.

    识别过程首先假设乐器先验概率相同根据高斯混合模型得出的验概率确定识别乐器所属的种类

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  • Given the observed hydrological data, the model can estimate the posterior probability distribution of each location of change-point by using the Monte Carlo Markov Chain (MCMC) sampling method.

    模型核心部分是根据观测资料通过蒙特卡洛马尔科夫随机抽样的方法估计变点位置后验概率分布

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  • Monte Carlo method can generate a large collection of models according to the posterior probability distribution and analyses and display the models with relative likelihood of model properties.

    蒙特卡洛根据概率分布产生大量模型能用模型相关然性质来分析呈现这些模型。

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  • Third, the initial segmentation is refined scale by scale to get the final segmentation of the SAR image based on the posterior probability of classification which is estimated by the mixture model.

    最后根据SAR图像统计性质,利用基于混合模型估计分类概率初始分割结果逐尺度进行细化得到SAR图像最终分割。

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  • In this paper, a posterior-probability-based feature selection algorithm is proposed for imbalanced datasets.

    针对不平衡数据集提出种基于后验概率特征选择算法

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  • At first, the population sample data are split into subpopulation data sets over the whole test duration by using the posterior belonging probability of each observation to each subpopulation.

    起初人口抽样数据分成群的数据整个试验持续时间通过使用属于观测概率每个亚群。

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  • At first, the population sample data are split into subpopulation data sets over the whole test duration by using the posterior belonging probability of each observation to each subpopulation.

    起初人口抽样数据分成群的数据整个试验持续时间通过使用属于观测概率每个亚群。

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