贝叶斯决策理论

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。

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

基于最小风险的贝叶斯决策理论相关反馈方法

Bayesian decision theory relevance feedback method based on minimum risk

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。

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

Hopkinson压杆测试技术探讨论贝叶斯决策理论法在审计抽样测试中的应用

Discussion on Hopkinson Bar Test Method ; The Application of Bayesian Decision Theoretic Approach To Audit Sampling

再分别采用神经网络中的多层前向网络（又称BP网络）分类器、最小距离分类器和贝叶斯决策理论分类器三种分类器对癌细胞图像进行分类识别，并对三种方法分类识别的结果进行比较。

Then use the BP neural network , the least distance arithmetic and the Bayes classifier to classify and recognize the cancer-cell images . At last , recognizing results of these three methods are compared .

该算法基于贝叶斯决策理论，通过概率密度函数进行分布估计，对两类别半监督学习问题进行判定。（3）给出了一个基于FCM的半监督学习算法。

The algorithm is based on Bayesian decision machinery , with estimation of the structure from probability density function , for two-class problems . ( 3 ) The paper gives out a semi-supervised learning algorithm based on FCM .

一种基于贝叶斯决策理论的模糊集划分方法

An approach of fuzzy set division based on the Bayes decision theory

模式识别中贝叶斯决策理论的研究

Research on Bayesian Decision - making Theory in Pattern Recognition

基于贝叶斯决策理论的电梯群控交通模式识别

Traffic pattern identification of elevator group control based on Bayes decision theory

论贝叶斯决策理论法在审计抽样测试中的应用

The Application of Bayesian Decision Theoretic Approach To Audit Sampling

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 is a basic method of Statistical Pattern Recognition .

贝叶斯决策理论的理性观及其相对性

The Rationality and Its Relativity in Bayesian Decision Theory

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 provided the theory foundation of uncertainty event or reason .

贝叶斯决策理论方法的研究

Study on Bayesian Decision Making Theory and Methods

贝叶斯决策理论与归纳逻辑

Bayesian Decision Theory and Inductive Logic

贝叶斯决策理论在核事故中、晚期应急决策优化中的应用

Application of Bayes decision technique for intermediate and late phase for optimizing emergency to nuclear accidents

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。

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

为了实现较完整的视频对象分割，提出了一种基于视频图像边缘信息和最小错误率的贝叶斯决策理论的视频对象分割算法。

To realize video object segment , we proposed one algorithm base on Bayes decision-making theory with least risk and video sequence edge information .

依据最小风险贝叶斯决策理论，提出了一种基于最小风险贝叶斯决策的图像分割方法。

By the minimum risk Bayes decision theory , this paper develops a new way of image segmentation : establish the mathematics model of image segmentation ;

提出基于贝叶斯决策理论的织物图像自动分类的新方法。

A new method automatically identifying textile is proposed in this paper . Firstly , Bayesian Model is presented to solve the problem of textile image classification .

根据激光测距机的结构和功能特点，应用贝叶斯决策理论研究出一种建立激光测距机故障字典、快速实现故障诊断的方法。

According to the structure and function characteristics of laser rangefinders , a method is put forward to constitute a fault dictionary and diagnose faults for laser rangefinders based on Bayes decision-making theory .

设计了一种较为通用的车型分类方案，并针对该分类方案的特点将贝叶斯决策理论和傅立叶描述子模型引入到车型分类算法中。

In addition , this paper emphasizes the research of vehicle type classification , and presents a universal vehicle type classification scheme , and introduces Bayes decision-making theory and Fourier descriptor model into the classification algorithm .

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。

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 .

根据视频图像的前景与背景的统计特征，提出了一种基于静止背景的最小错误率的贝叶斯决策理论的视频对象分割算法。

In this paper , according to the characteristics of the foreground and the background , we propose a novel video object segmentation algorithm , which algorithm is a Bayes decision-making theory with least risk based on still background .

它采用贝叶斯分类决策理论建立系统的数学模型，以高斯函数作为激励函数，具有非线性处理和抗干扰能力强等特点。

The method uses Bayes classifying and decision-making theory to constitute the mathematic model of system ; with Gauss function as activating one , it possesses the characteristics of strong nonlinear processing and anti-interfering ability .

从消费者购买行为的分析，应用贝叶斯风险决策理论，研究了新产品的市场扩散过程，建立了耐用消费品及重复性购买产品的总体市场扩散模型。

The adoption behavior of consumers in risk-sensitive markets is analyzed , and the aggregated diffusion models of durable goods and repeat purchase goods are developed by applying Bayes ' decision theory to innovation diffusion process .

贝叶斯网络是基于贝叶斯决策理论的因果建模技术。

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