Finally, collected defect data samples are used to verify the model and the result indicated that the model is better than the common Bayesian models both in veracity and stability of prediction.
通过收集到的缺陷数据样本比较结果表明，该模型比一些常用贝叶斯模型具有更好的预测准确性和稳定性。
Bayesian model averaging was used to combine the results across models and to provide a measure of uncertainty that reflects the choice of model and the sampling variability.
贝叶斯模型平均法用来综合各模型的结果并提供一种反映模型选择和抽样变异性的不确定性度量。
It appears to be objective. But when models are built, it is almost impossible to avoid including Bayesian-style prior assumptions in them.
但是模型建立起来后，几乎不可避免地把贝叶斯的预先假定理论也纳入了模型中。
For example, NLTK has a whole framework for text classification using statistical techniques like "naive Bayesian" and "maximum entropy" models.
例如，NLTK有一个完整的框架，用于通过类似于“naiveBayesian”和“maximumentropy”等模型的统计技术进行文本分类。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
In "A Plan for Spam" (see Resources later in this article), Graham suggested building Bayesian probability models of spam and non-spam words.
在“APlanforSpam”（请参阅本文后面的 参考资料）中，Graham提议建立垃圾邮件和非垃圾邮件单词的贝叶斯概率模型。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
贝叶斯网络是目前不确定知识和推理领域最有效的理论模型之一。
This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.
论文研究了三种朴素贝叶斯分类器信用评估模型的精度。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
Calculating posterior probabilities and related Bayes factors for a collection of competing models has been a difficult and challenging problem for Bayesian statisticians.
在贝叶斯统计中计算一组竞争模型的后验概率及其相关贝叶斯因子一直是一个较难且有挑战性的课题。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields(MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的最大后验概率估计。
The method is to derive the maximum a posteriori estimate of the regions and the boundaries by using Bayesian inference and neighborhood constraints based on Markov random fields (MRFs) models.
依据这一模型，该方法使用贝叶斯理论和领域约束获得了区域和边界的量大后验概率估计。
Methods age cohort models was used to fit data of twenty five years PLC incidence in Qidong to estimate parameters for birth cohort and age effect by means of Bayesian graphical modeling.
方法利用贝叶斯图解模型和年龄队列模型对肝癌发病的年龄、出生队列效应的参数进行估计。
And then this thesis summarized the parameter estimation methods of the quantile regression models including Bayesian analysis, and introduced the calculation and evaluation methods of VaR in detail.
然后总结了分位回归模型的参数估计方法和贝叶斯理论分析，并详细归纳了风险价值的计算方法、评价方法。
The accuracy and the main features of Bayesian classification models are analyzed.
对贝叶斯分类模型的准确性及其主要特点进行了分析。
Univariate forecasting methods are still used far more in practice, such as Fractional Differencing models, Structural models and Bayesian forecasting methods.
单变量方法在实际中使用最多，主要涉及分数差分模型、结构模型、贝叶斯预测方法。
My main work is applying the particle filter algorithm to random simulate the non-linear Bayesian dynamic models.
我的主要工作是把粒子滤波算法引人到非线性贝叶斯动态模型中来，对非线性模型进行了模拟。
Current remote sensing image classification models and algorithms commonly used statistical methods, neural networks, Bayesian and so on.
目前遥感影像分类的常用模型和算法有统计学方法、神经网络、贝叶斯等。
The five models used most often are oil futures prices, regression-based structural models, time-series analysis, Bayesian autoregressive models and dynamic stochastic general equilibrium graphs.
最常使用的五个模型是石油期货价格、回归结构模型、时间序列分析、贝叶斯自回归模型和动态随机一般均衡图。
It researches the method for the models evaluation and use, and then introduced the bayesian belief networks to improve the underlying quantitative model.
研究软件模块排序模型的评估和使用方法，并提出以贝叶斯信念网络改进排序模型的基本定量模型。
Parameter values in these models were estimated with Bayesian method. Realizations of different shocks were also obtained with Kalman smoothing algorithm.
利用贝叶斯方法估计了模型参数后，又通过卡尔曼平滑算法估计了模型中各个外生冲击的实现值。
But when models are built it is almost impossible to avoid including Bayesian-style prior assumptions in them.
但是模型建立起来后，几乎不可避免地把贝叶斯的预先假定理论也纳入了模型中。
Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.
贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。
Sparse Bayesian classification is applied to recognize and classify vehicle models.
利用稀疏贝叶斯分类器对检测到的汽车进行车型分类。
Concerning the difficulties in part-of-speech tagging in English present participle, the authors analyzed the drawbacks of Hidden Markov Models (HMM) and proposed Bayesian decision tree model.
针对英文现在分词词性标注这一特定问题存在的难点分析了隐马尔可夫模型(HMM)的不足，提出了贝叶斯决策树模型。
The predictive model is obtained by weighting the sub-models with the recursive Bayesian scheme. Simulation results demonstrate the efficiency of the method.
在控制算法方面，为了减少计算量，对具有较少计算量的预测函数控制进行了研究。
The predictive model is obtained by weighting the sub-models with the recursive Bayesian scheme. Simulation results demonstrate the efficiency of the method.
在控制算法方面，为了减少计算量，对具有较少计算量的预测函数控制进行了研究。
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