Both likelihood ratio tests and Bayesian inference are employed to study the phylogeny of Phasianidae.
应用似然比检验和贝叶斯推论进行雉科分子系统学研究。
Statistical inversion of seafloor parameters based on Bayesian inference is an interesting topic in the research of underwater acoustics.
基于贝叶斯定理的海底参数统计反演是当前水声学研究的热点之一。
The most common statistical approach is called bayesian inference and is explained in detail in another IBM developerWorks article (see Resources).
最常见的统计方式称为贝叶斯推理，更详细的内容，可以参阅IBMdeveloperWorks 的另一篇文章（参见参考资料）。
This paper builds a Bayesian inference network model based on the Rough Sets and Reason Rules and apply it to fulfill the medical data mining work.
本文构建了一个基于粗糙集和规则推理的贝叶斯网模型，并将其运用于现实病历数据进行挖掘工作。
The paper introduces the target tracking algorithms based on Bayesian inference, which can be applied in the systems of nonlinearity and non-Gaussianity.
该文描述了基于贝叶斯推理的目标跟踪算法，可应用于非线性、非高斯系统中。
We review the basic principle, formalism, and philosophy of Bayesian inference and discuss its application in the context of the analytic continuation problem.
我们回顾了他的基本原理，公式和贝叶斯原理的性质，并且讨论了它在解析延拓问题的应用。
The purpose of this paper is to summary the literatures on tests of portfolio mean-variance efficiency in the framework of classical statistics and Bayesian inference.
评述了应用经典统计学和贝叶斯推断检验资产组合均值方差有效性的文献，提出了这些方法在我国应用-的可能性。
Bayesian inference has also gained prominence in E-mail spam-fighting, and in non-spam-related areas such as customer affinity engines (or, commercial recommendation engines).
贝叶斯推理在对付电子邮件中的垃圾信息以及其他与垃圾信息不相关的领域(比如客户亲和力引擎，或商业推荐引擎)均有突出的表现。
To improve the accuracy and speed in cycle-accurate power estimation, this paper USES multiple dimensional coefficients to build a Bayesian inference dynamic power model.
为改善周期精确级功耗分析的准确度和速度问题，使用多维特征参数建立贝叶斯推理的动态功耗模型。
The algorithm handles uncertain information with Bayesian inference, giving a quantitative evaluation of the security state of a system and eliminating false alarms effectively.
算法用贝耶斯推理处理不确定信息，量化地评估系统安全状态，并且有效地消除误报。
The paper presents a kind of bayesian inference of simple signal in dynamic measurement. The simple measured signals and output signals are thought of as realizations of stochastic process.
本文提出一种动态测试中单次性信号测试数据的贝叶斯推断方法，其中单次性的被测信号和输出信号被认为是随机过程的现实。
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。
Bayesian Networks is a model that efficiently represents knowledge and probabilistic inference and is a popular graphics decision-making analysis tool.
贝叶斯网络是在不确定性环境下有效的知识表示方式和概率推理模型，是一种流行的图形决策化分析工具。
Bayesian network as, a very useful tool in data mining, can provide qualitative and quantitative relationship between attributes and probability inference.
贝叶斯网络是数据采掘的一个非常有效的工具，它能够定性和定量地分析属性之间的依赖关系，进行概率推理。
Experiments prove that the priority knowledge can be corrected continually by inference information of Bayesian network, and help to solve the problem of subscriber churn.
实验说明，基于贝叶斯网络推理的知识可以不断修正先验知识，获得对客户流失等问题的正确认识。
Finally, taking ADRT as the application object, using the integrated inference technology of rule diagnosis and Bayesian Network diagnosis methods, we develop the intelligent fault diagnosis system.
最后，以自动门为应用对象，采用规则诊断与贝叶斯诊断集成推理技术，开发了自动门智能故障诊断系统。
After the theory and inference mechanism of Bayesian networks was introduced, this paper mainly studies the application of Bayesian networks in emitter's threat level assessment.
以贝叶斯网络及其推理机制为基础，主要研究了贝叶斯网络在辐射源威胁等级评估方面的应用。
Object to the multi sensors character in warship battle damage assessment, a Bayesian net inference arithmetic is up forward considering observation operation.
针对舰船战场损伤评估的多元信息特点，建立了在观测操作条件下的舰船战场损伤评估的贝叶斯网络推理算法。
We present a systematical way to use Bayesian statistical inference and the maximum entropy to deal with the data obtained by the continue imaginary-time QMC simulations.
我介绍了一个系统的方法应用贝叶斯统计推论和最大熵来处理量子蒙特卡罗模拟所得到连续虚时间的数据。
This paper introduces inference algorithm of Bayesian network and analyzes intrinsic characteristic and reasoning mode of situation assessment.
该文介绍了贝叶斯网络推理算法，分析了态势估计问题的本质特征和推理模式。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
贝叶斯学习理论使用概率去表示所有形式的不确定性，通过概率规则来实现学习和推理过程。
The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.
研究了基于贝叶斯网络的推理模型以及基于此模型的推理算法。
By the inference mechanism based on Bayesian Networks, a modeling process of fault diagnosis system of AUV and the optimizing method of fault diagnosis strategy are given.
并通过基于贝叶斯网络的推理机制，给出了智能水下机器人故障诊断系统的建模过程以及对诊断策略的优化方案。
How to use Bayesian network to solve this kind of mixed uncertainty knowledge inference has become a research hotspot.
如何应用贝叶斯网络解决这一类混合不确定性的知识推理问题已成为研究热点。
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。
This paper has researched information transform algorithm, and presented the Bayesian network structure of accident reason inference according to reversion inference.
研究了消息传播算法，根据贝叶斯网络的逆向推理给出了事故原因推理的贝叶斯网络结构；
Dynamic Bayesian Network (DBN), because of extensibility, powerful description, inference and learning abilities for the time series, being used in the speech recognition.
动态贝叶斯网络(DBN)，以其扩展性和对时间序列的强大描述、推导和学习能力，逐渐被应用于连续语音识别中。
Dynamic Bayesian Network (DBN), because of extensibility, powerful description, inference and learning abilities for the time series, being used in the speech recognition.
动态贝叶斯网络(DBN)，以其扩展性和对时间序列的强大描述、推导和学习能力，逐渐被应用于连续语音识别中。
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