查询词典 bayes decision function

This paper based on Bayes posterior probability formula, establishes a dynamic model for the identification of fractures by using five performance paramete1 such as water breakthrough period, waterline movement velocity, using velocity of water cut, cumulative injection production ratio, and injection pressure. It carries out an analogy between the samples to be distinguished and the known ones to confirm how to classify them.

将油水井见水周期、水线推进速度、含水上升速度、累积注采比、注水压力等5个参数作为动态变量，基于Bayse后验概率公式建立动态裂缝识别模型，将待判别的样品与已知类型的样品进行类比，以确定待判别样品的归类。

OBJECTIVE To design and develop a clinical pharmacokinetics and individual drug dosage regimens system CPKDP program for estimating individual pharmacokinetic parameters and optimizing individualizing dosage regimens using routine clinical data of plasma levels. METHODS According to the principle of population pharmacokinetics and Bayes" formula, CPKDP program was written with FOXPRO 2.6 and BORLAND C++ 3.1, and was run on 486 microcomputer with UCDOS 5.0. RESULTS CPKDP program was adapted for drugs with different characteristics of pharmacokinetics, and for single dose or multiple dose administration. Using 1 or 2 measured drug concentrations, individual patient"s pharmacokinetic parameters were estimated based on population-average pharm-acokinetic parameters. CONCLUSION CPKDP program is applied for estimating pharmacokinetic parameters and optimizing drug therapy in individual patients.

目的为利用临床常规监测的血药浓度数据估算病人的个体药动学参数，优化给药方案，设计、研制了临床药动学给药个体化系统CPKDP程序方法依据群体药动学原理及Bayes公式，CPKDP程序用FOXPRO 2.6和BORLAND C++ 3.1开发，在希望汉字系统UCDOS 5.0平台上运行结果CPKDP程序适用于具有不同药动学特征的多种药物，适用于不同给药途径的单剂量或多剂量给药在群体药动学参数的基础上，结合病人个体特征，以1，2个血药浓度作为反馈，即可拟合估算个体药动学参数，优化给药方案结论经初步应用，CPKDP程序是应用Bayes反馈法开展临床个体化给药工作非常实用的工具

In most cases, Bayes solution based on the mean of the posterior distribution will be better than the traditional one.

在大多数情况下，基于后验分布的贝叶斯解会优于传统解。

The computational load of approximating the Bayes solution is lightened greatly by taking advantage of Markov chain Monte Carlo method.

同时，本文提出的方法还具有软输入软输出的特点，可以方便的与纠错编码相结合进一步提高接收机检测性能。

Several important concepts like expected and empirical risks, target and hypothesis spaces, and Bayes optimal solution are either introduced or revisited in the light of statistical learning theory.

由于实例学习法会牵涉到严密的机率架构问题，因此许多重要的观念，如预期和经验风险，标的与假设空间以及贝斯最佳解式将被介绍，或是以统计学的观点再次回顾。

Under weighted squared error loss, it is showed that a least favorable prior, when estimators are restricted to be polynomials of X with degree no more than k, exists and has at most (k+2)-point support, and its Bayes solution, under above restriction, is a k/sup th/ polynomial minimax estimator.

是观测值X的期望值，在X的多项式函数中，於加权平方误差损失之下，本文考虑使其最大风险最小化的多项式大中取小估计式。

Minimax estimator;Bayes solution;Poisson mean;Restricted space;K-normalized squared error loss;Linear minimax estimator;Weighted squared error loss

中文关键字大中取小估计式；贝氏解；卜阿松分布平均数；限制参数空间；K-正规化平方误差损失；线性大中取小估计式；加权平方误差损失

Therefore, the Ranking research based on bayes is interesting and is of great significance.

因此，将贝叶斯方法应用于Ranking的研究是一项有趣的工作，并且具有十分重要的意义。

The experimental results show that this technology can improve the performance of naive Bayes classifier.

2特征降维是文本表示中的一个重要的研究方向，也是本文研究的一个主要内容。

Researches attracted more and more attention to the robustness of Bayesian analysis in the research of Bayes method.

在Bayes方法的研究中，Bayes方法的稳健性引起了国内外诸多科研工作者的关注。

These are places without aristocratic baggage; egalitarian places open to talent, self-improving, engaged in learning and innovation through networks that were at once competitive and cooperative.

这些地方没有贵族遗风作祟，而且对于那些有天分的人是开放的平等之地，这些人善于通过那些曾经很具有竞争力与合作精神的关系网进行自我提高以及学习创新。

Christine: You don't want to see me?

你不想见我？