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贝叶斯滤波十分的有用。Bayesian filtering is plenty useful.

数据通过分极贝叶斯模型分析。Data were analyzed with hierarchical Bayesian modeling.

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贝叶斯技术建立在单词模型上，其工作良好。Bayesian techniques built on a word model work rather well.

举个简单的例子。Here’sa simple example of how you might use a Bayesian filter.

本研究运用了贝叶斯的决策分析构架⑧。This study used the Bayesian analysis of the decision-making framework ⑧.

高级主题，时贝叶斯分析，非参数方法。Advanced Topics, Time Permitting Bayesian Analysis, Nonparametric Methods.

本文首先介绍了贝叶斯网络和D-S证据理论。This paper introduced the Bayesian network and Dempster-Shafer evidence theory.

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本文使用贝叶斯学派方法导出此假设检验的统计量。This thesis deduces the statistic of the hypothesis testing by Bayesian method.

贝斯策论模识别、号测非常广泛应。Bayesian decision theory is widely used in pattem recognition and signal detection.

将贝叶斯理论用于多波段SAR图像的分类。In this paper, Bayesian theory is applied to classification of multiband SAR images.

与较早的研究不同的是，格列格雷运用了统计学的一种方法——贝叶斯过滤分析法。Unlike earlier studies, Gregory used a branch of statistics called Bayesian analysis.

本课题是对贝叶斯频谱估计算法的应用性研究。This paper is an application research on the algorithm of Bayesian spectrum estimation.

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推导出服从指数分布的贝叶斯可靠性序贯试验方法。Bayesian reliability sequential testing method is gave out for exponential distribution.

提出了一种基于离散时间贝叶斯网络的动态故障树分析方法。A new dynamic fault tree analysis method based on discrete-time Bayesian networks is proposed.

相关推理是在贝叶斯框架下采用马尔可夫链蒙特卡罗模拟法。Inference is performed in a Bayesian framework using reversible jump Markov chain Monte Carlo.

论文研究了三种朴素贝叶斯分类器信用评估模型的精度。This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.

在此之上提出一种基于贝叶斯公式可减少损失的垃圾邮件过滤方法。And then this paper presents a minimizing cost anti-spam filtering algorithm based on Bayesian.

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在贝叶斯网络构造过程中，结合采用K2和MC-MC算法构建网络。During the process of Bayesian networks modeling, K2 and MCMC algorithms are utilized together.

这些变化，这本书可以作为一个自足的介绍贝叶斯分析。With these changes, the book can be used as a self-contained introduction to Bayesian analysis.

实验数据表明贝叶斯网络比神经网络更适合解决汉语词义消歧问题。The experimental data shows that Bayesian network is fitter for solving the Chinese WSD than ANN.