Bayesian decision theory

Bayesian decision theory is a basic method of Statistical Pattern Recognition .

贝叶斯决策理论是统计模式识别中的一个基本方法。

Bayesian decision theory relevance feedback method based on minimum risk

基于最小风险的贝叶斯决策理论相关反馈方法

Research on Bayesian decision theory based relevance feedback mechanism .

研究了基于贝叶斯理论的相关反馈方法。

Tracking Occlusive Target Method Based on Bayesian Decision Theory and Particle Filter

基于粒子滤波器和风险决策跟踪遮挡目标的方法

Bayesian decision theory provided the theory foundation of uncertainty event or reason .

贝叶斯决策理论为处理不确定的事件或推理提供了理论基础。

Bayesian Decision Theory Approach to Sampling Acceptance Plan with Random Censoring

随机截尾试验变量抽样接收方案的贝叶斯决策

Bayesian decision theory is widely used in pattem recognition and signal detection .

贝斯策论模识别、号测非常广泛应。

The Rationality and Its Relativity in Bayesian Decision Theory

贝叶斯决策理论的理性观及其相对性

Bayesian Decision Theory and Inductive Logic

贝叶斯决策理论与归纳逻辑

The main contribution of the paper is that group polarization shift effect are proclaimed by using Bayesian decision theory .

本文的主要贡献是通过模型揭示群体极端性转移效应。

Probabilistic neural network ( PNN ) is a classification network , which is based on Bayesian decision theory and probability function estimation theory .

F.Specht提出的概率神经网络（ProbabilisticNeuralNetwork，PNN）是基于密度函数估计和贝叶斯决策理论而建立的一种分类网络。

For example , we construct GPS and PPSP for phosphorylation site prediction , based on GPS and Bayesian Decision Theory algorithms , respectively .

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PPSP网站。

In this paper , the principle of Bayesian decision theory are used to model how individual attitudes will change after group discussion , including the direction and magnitude of opinion shift .

本文用Bayesian决策理论建立一个模型描述个体风险态度经过群体讨论后将如何变化，包括其变化的方向和变化的数量。

And the point about Bayesian decision theory is it gives you the mathematics of the optimal way to combine your prior knowledge with your sensory evidence to generate new beliefs .

好了，贝叶斯决策论的重点就在于这个理论提供了一种计算方法，能找到最优的办法来整合，知识积累和感官输入这两种信息源以生成新的置信值。

And to do that , I 'm going to tell you about a framework which is very popular in statistics and machine learning of the last 50 years called Bayesian decision theory .

为此，我来介绍一个在过去50年里统计学和机器学习方面都很常用到的架构，叫做贝叶斯决策论。

In order to construct an accurate variational restoration model , we classify the noisy pixels into Gaussian or impulse type in advance based on the absolute difference image and Bayesian decision theory .

为了准确地构建图像恢复变分模型，我们事先对图像中的两种噪声进行分类并标识，采用基于绝对差图像和贝叶斯决策的噪声分类法将高斯噪声和冲击噪声有效地分离。

And the qualities of these functions can be represented by two representation theorems , which lay out the principles of the rationality in Bayesian decision theory : the assignments of values and degrees of belief must be coherent .

这些函数的性质可以表述为两个表达定理，它们展现了贝叶斯决策理论的理性观：当事人的价值及信念度赋值必须都是一致的。

Based on the Bayesian decision theory , Expected utility representation with multiple prior is discussed in this paper , and new criteria are constructed , which can extend the use range of the old criteria and deal with uncertainty decision problems better .

制定了基于多先验期望效用的决策准则。与原有的不确定性决策准则比较，新的准则拓宽了它们的使用范围，可以更好地处理不确定的决策问题。

Study on Bayesian Decision Making Theory and Methods

贝叶斯决策理论方法的研究

The third is how to use Bayesian decision making theory to deal with no-linear Bayesian dynamic models .

最后，将贝叶斯决策理论应用到非线性贝叶斯动态模型中去。

Research on Bayesian Decision - making Theory in Pattern Recognition

模式识别中贝叶斯决策理论的研究

Results We demonstrate that the Bayesian information criterion and decision theory are the most appropriate model-selection criteria because of their high accuracy and precision .

另外，结果显示：对于同样的数据不同的选择标准经常选择出不同的最优模型；

Bayesian network is based on Bayesian decision theory , causal modeling techniques .

贝叶斯网络是基于贝叶斯决策理论的因果建模技术。