研究了基于贝叶斯理论的相关反馈方法。
Research on Bayesian decision theory based relevance feedback mechanism.
探讨了贝叶斯理论在水文频率分析计算中的应用。
The application of Bayesian theory to hydrological frequency analysis is investigated in this study.
利用贝叶斯理论，对预测的路径行程时间进行更新与调整。
The forecast route travel time is updated and adjusted by Using Bayesi Theory.
运用贝叶斯理论及方法，建立了网络系统风险的动态评估模型。
Based on Bayesian theory and concerning approaches, this paper establishes an evaluating model and gives the corresponding method to evaluate dynamically the network risk.
基于贝叶斯理论，提出采用概率的方法来估计泊松曲线的参数。
Based on the Bayesian theory, a probability method was proposed to estimate the parameters of the Poisson curve.
即使没有先验信息（历史数据或证据），贝叶斯理论仍然有用。
The Bayesian approach may also be useful in the absence of prior information.
最后通过实例分析说明了基于贝叶斯理论的不确定度A类评定的合理性和优越性。
Moreover, this paper proves the rationality and advantage of type a evaluation of uncertainty in measurement based on Bayesian theory with an example.
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。
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.
通过假设预测方位和实测方位差值服从零均值的高斯分布，利用贝叶斯理论来修正各滤波器的权重。
And the weight of each filter is updated using Bayes theory based on the assumption that the difference between estimate and measurement bearings obeys Gaussian distributions with zero mean error.
以贝叶斯理论为依据，考虑元件可靠性评估不确定性的影响，建立分布式监测系统的系统可靠性评估方法。
An estimation method of system reliability based on Bayesian statistical theory is presented in consideration of the uncertainty of component reliability estimates for distributed monitoring systems.
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。
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.
本文用模糊综合评判方法与贝叶斯理论相结合，给出由小样本实验数据来确定电子系统长储可靠性模型的方法。
In this paper, a method based on the fuzzy judgement and Bayesian theory to evaluate the model of storage reliability of radio fuse using simple sample data is presented.
针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。
To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).
课程将主要讲授资产定价中一些重要问题，如股票估价，股票价格泡沫，共同基金的表现，以及贝叶斯理论在金融中的应用。
This course will mainly focus on some important issues in asset pricing, such as valuation, stock price bubbles, mutual fund performance, and Bayesian theory in finance.
根据现在通常使用的《测量不确定度表示指南》(GUM)的基本原理，本文以贝叶斯理论为基础，对测量不确定度的评定方法进行了研究。
Based on the evaluation principle of uncertainty in GUM (Guide to the uncertainty in Measurement), the paper studies on the evaluation of uncertainty based on the Bayesian theory.
从心理上来说，人们更倾向于贝叶斯的理论，甚至到了经常做出错误联系的程度，而这种风险则令科学家们更加偏好帕斯卡的观点——它似乎挺客观。
Psychologically, people tend to be Bayesian—to the extent of often making false connections. And that risk of false connection is why scientists like Pascal's version of the world.
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。
It appears to be objective. But when models are built, it is almost impossible to avoid including Bayesian-style prior assumptions in them.
不过帕斯卡的理论相对简单，也得到了普遍理解，而贝叶斯的理论人们一直很难领会。
But, whereas Pascal's ideas are simple and widely understood, Bayes's have always been harder to grasp.
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。
Bayesian network is one of the most efficient models in the uncertain knowledge and reasoning field.
贝叶斯决策理论的基础在于如何表达价值和信念。
The foundation of Bayesian decision theory is how to represent our values and beliefs.
基于贝叶斯估计理论，得到了相应的非线性阈值函数（双变量收缩函数）。
The corresponding nonlinear threshold functions (bivariate shrinkage function) are derived from the model using the Bayesian estimation theory.
背景知识，先验信念和贝叶斯评价应当结合在一起从结构上和功能上实现优化整合，以利主体对理论的合理接受。
Background information, transcendental belief and Bayesian evaluation should combined together to achieve the optimization and conformity, as for the subject to rationally accept a theory.
因此，提出了一种基于粗糙集理论的混合树增广朴素贝叶斯分类模型（MTANC）。
So a new Bayesian model mixed tree augmented Naive Bayes classifier(MTANC) based on the rough set theory is presented.
例如，我们使用GPS和贝叶斯决策理论算法，分别构建了预测蛋白质磷酸化位点的GPS和PP SP网站。
For example, we construct GPS and PPSP for phosphorylation site prediction, based on GPS and Bayesian Decision Theory algorithms, respectively.
介绍了作为粒子滤波理论基础的递推贝叶斯估计的基本概念，说明了重要性函数对于粒子滤波器的设计是至关重要的。
The principle of Recursive Bayesian estimation was introduced which was the basis of Particle filter, and the significance of importance function to the design of particle filter was illustrated.
贝叶斯学派和古典统计学派在统计的基础理论和方法上一直存在争议。
There has been disputed about the basic theory and methods in statistics between Bayesian School and Classic statistics School.
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。
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。
Bayesian learning Theory represents uncertainty with probability and learning and inference are realized by probabilistic rules.
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