我们采用了基于词熵的特征项提取方法，并且使用特征项单词出现频率来表示向量，推导出相应的贝叶斯计算公式。
We adopt a way of attribute selection based on word entropy, use vectors which are represented by word frequency, and deduce its corresponding Bayesian formula.
贝叶斯网络是如今处理计算机系统，处理成千上万个变量和无数个观察的标准方法。
Bayesian networks are today's standard method for handling uncertainty in computer systems, processing thousands of variables and millions of observations.
这种新的贝叶斯滤波算法是粒子滤波器与划分采样技术和假设计算的有机结合。
The proposed algorithm is a combination of the partition sampling technique and hypothesis calculations with the particle filter.
在这种框架中，利用李群来表示旋转空间，然后基于贝叶斯估计结构，计算了利用李群的表示的最小均方误差估计性能界限。
Upon this frame, use matrix Lie group to express the rotation space, then base on Bayesian estimation framework, calculate the minimum mean squared error bounds which use the matrix Lie groups.
通过实证分析证明了，运用贝叶斯方法比传统的频率统计的方法计算出的过程能力指数值更加能真正反映生产实际情况。
It showed through. using Bayesian methods than traditional frequentist statistical methods of calculation of process capability index can reflected the actual productions situation. more truly.
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.
本文对正态模型单边可靠性精确的贝叶斯下限的评估公式提供一种计算方法。
In this paper, a numerical method for computing evaluation formulas of the exact Bayesian Lower Limits of one-sided reliability in the case of normal model is presented.
利用贝叶斯参数估计算法进行多特征信息融合。
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
在进行计及电压暂降的配网可靠性指标计算时，用贝叶斯网络计算常规的可靠性指标，结合敏感负荷的停运计算暂降时的指标。
The Bayes formula is used for the traditional reliability indices, and the indices during the voltage sags are calculated with the outage of the sensitive loads.
基于秩- 1更新，提出了稀疏贝叶斯学习算法(SBLA)。该算法具有较低的计算复杂度和较高的稀疏性，从而适合于求解大规模问题。
Based on a rank-1 update, we propose sparse Bayesian Learning Algorithm (SBLA), which has low complexity and high sparseness, thus being very suitable for large-scale problems.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。
In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult.
所提出计算模型为贝叶斯网的概率推理提供了一种新的局部计算方法。
The proposed computation models will supply new local computation methods for Bayesian network probabilistic inferences.
在贝叶斯统计中计算一组竞争模型的后验概率及其相关贝叶斯因子一直是一个较难且有挑战性的课题。
Calculating posterior probabilities and related Bayes factors for a collection of competing models has been a difficult and challenging problem for Bayesian statisticians.
本文研究了利用贝叶斯高分辨方法解决相干源的问题，分别对均匀线列阵和圆形阵中的相干源问题进行了计算机仿真，并将贝叶斯方法和其它方法进行比较。
The results of computer simulation show that Bayesian high-resolution method has better performance than other methods in both uniform linear array and circular array.
统计计算机程序使用贝叶斯模型计算某些已经预测事件对石油的影响。
Statistical computer programs use Bayesian methods to calculate the probability of the impact of certain predicted events on oil.
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.
文中采用统计学理论，利用贝叶斯概率公式计算视频语义出现的概率，选取概率最大的类别标注未标记的样本。
In the paper, we use the statistical theory to calculate the probability of video semantics by Bayesian formula, choose the semantic of maximal probability to label the unlabeled samples.
虽然朴素贝叶斯邮件过滤器计算简便，但召回率和正确率都难以进一步提高。
Although the Naive Bayes spam filter is simple and convenient, the recall and precision are hard to be improved.
通过分析贝叶斯网络在计算机网络安全评估中的适用性，提出了一种新的网络安全评估方法。
Through the analysis of Bayesian net's applicability in computer network security evaluation, this paper presents a novel method to evaluate network security.
应用贝叶斯方法研究了火工品买卖方风险问题，在先验分布和历史数据下，给出了买卖方风险的计算公式。
This paper discusses the risk research of pyrotechnics for the buyer and seller with the Bayes method. Under the historical data and prior distribution, the formulation of risk is obtained.
多层分类器； 垂直搜索引擎；计算机教育资源；朴素贝叶斯；
Multi-layer classifier Topic search engine Computer education resources Naive Bayes;
贝叶斯模型是一种计算模型，而不是描述模型，所以，也有人将其单独归为概率解释。
Bayesian model is a computational model, not a descriptive model. Hence, it's also returned to the probability interpretation.
贝叶斯模型是一种计算模型，而不是描述模型，所以，也有人将其单独归为概率解释。
Bayesian model is a computational model, not a descriptive model. Hence, it's also returned to the probability interpretation.
应用推荐