Bayes的例句大全

The Asymptotically Optimal Property of Empirical Bayes Test Problem

渐近最优的经验Bayes决策问题

Bayes network is a directed acyclic graph with a series of conditional probabilities.

Bayes网络是一个具有一系列条件概率的有向无循环图.

Weighted mixed naive bayes algorithm divides properties to independent subsets. Weighted TAN is used in subsets, naive bayes is used between these subsets.

加权混合贝叶斯算法把属性分为相互独立的属性子集，在属相子集之间使用加权朴素贝叶斯算法，属性集内部使用加权TAN算法。

So the software requirement prediction model based on Bayes network is proposed and the Bayes formula is introduced to analyze the prediction result.

于是建立了基于Bayes网的软件需求质量预测模型，并用贝叶斯公式对出现的预测结果进行了分析。

This thesis displays the probability of Fuzzy event and it ′ s basic natures. By extending classical Bayes ′ formula, it is presented the Bayes ′ formula on Fuzzy event.

讨论了模糊事件的概率及其基本性质，并通过对经典贝叶斯公式的推广，提出了模糊事件的贝叶斯公式。

According to the basic theory of Bayes, research into Bayes estimation of multigroup ranging measurement test and derive formulas used in range and density test when average value and variance are unknow.

根据Bayes方法的基本思想，研究多组距离（长度）测试Bayes估计，推导出均值、方差未知时的距离（长度）、密集度检验所用公式。

The primary construction and its implementation of multidimensional asynchronous pattern classifier were presented. On line optimization of classification threshold can be finished by a learning program based on Bayes minimum error law or Bayes minimum risk law.

介绍了异步多维模式分类器的基本结构和实现方法，根据Bayes最小错误分类原则或Bayes最小风险分类原则，可通过学习程序实现分类阈值的在线寻优。

Secondly, based on the uncertainty of unexpected events and dynamic features, using Bayes rule to amends to a priori probability for dynamic decision-making methods respectively, using Bayes rule constantly dynamic correction phase of the results according to the information available and the changes in adjusting tactics.

其次，基于突发事件的不确定性及动态特性，分别利用贝叶斯法则修正先验概率进行动态决策的方法，利用贝叶斯动态修正法则不断地根据阶段结果和所掌握的信息变化调整策略。

The optimal properties of its score function and parameter estimation based on the Bayes risk are discussed. It is shown that the asymptotic Bayes risk of Bayes quasi-likelihood estimation with auxiliary information decreases gradually with the increase of auxiliary information.

讨论了其估计函数和参数估计的最优性，证明了附加信息Bayes拟似然的渐近Bayes风险随着相依信息的增力。而逐步减少。

A unified frame of the certainty theory and the Subjective Bayes rule

确定性理论及主观Bayes方法的一个统一框架

The Bayes Risk Theorem is also deduced, the genuine application value is pointed out. In addition, the calculation of the real mean risk value, the mean test number and prior probability P_H_0 are discussed.

另外还讨论了Bayes截尾SPRT方案的平均风险实际值、平均试验数及验前概率P（H0）的计算。

Based on the definition of entropy and the rule of maximum entropy and the theory of Bayes risk, the quantity of project financing for CPPP is estimated;

基于熵的定义与极大熵准则和贝叶斯推断，对风险环境下的煤电联营项目融资额度进行了估算。

If the probability structure of problem is completely known, the new features will not increase the Bayes risk.

在问题的概率结构完全已知的情况下，增添新特征不会增加Bayes风险。

The manpower model for software projects based on analysis of Bayes risk

基于贝叶斯风险分析的软件项目人力资源模型

The speech recognition model based on Bayes rule is involved in expressing and using properly knowledge of both acoustic layer and language one.

基于Bayes原理的语音识别模型涉及声学层和语言层知识的适当表示和运用。

A new terrain-aided navigation ( TAN) approach using Bayes rule has been proposed.

提出并建立了一种基于贝叶斯方法的地形辅助导航（TAN）模型，推导了模型公式。

Based on the theory of rough set, a new Nave Bayes method named Conditional Information Entropy-based Algorithm for Self-learning Nave Bayes ( CIEBASLNB) was proposed, which combined the merits of selective Nave Bayes ( SNB) and Weighted Nave Bayes ( WNB).

根据Rough Set的相关理论，提出了基于条件信息熵的自主式朴素贝叶斯分类方法，该方法结合了选择朴素贝叶斯和加权朴素贝叶斯的优点。

An Asymptotic Optimal Empirical Bayes Rule for Selecting Good Multinomial Population in Technology

最好多项母体的渐近最优经验贝叶斯选择规则

Based on this standard, minimizing the Bayes risk is regarded as the optimization criteria of the detection performance, and then all of the parameters are analysed and studied. Secondly, under the new evaluation standard, the local spectrum sensing is researched.

基于此标准，提出以最小化贝叶斯风险作为优化系统检测性能的准则，并对所有参数设置作了相关分析与研究。

The Bayes rule for minimum error and supervised parameter estimation for Gaussian mixture are used to solve the problem of threshold selection and get a good experimental result.

对于特征差值图像阈值选取问题，则采用基于最小错误率的贝叶斯准则结合正态分布的监督参数估计进行处理，在实践中获得了较好的效果；