bayesian
- 网络贝叶斯；贝叶斯算法；贝氏
bayesianbayesian
贝叶斯
由于贝叶斯（Bayesian）单词分布过滤是建立在学习基础上的，判断信件是否为垃圾邮件的条件将受到所有训练词库中词的影 …
贝叶斯算法
“贝叶斯算法”（Bayesian）应该是一种不错的考量。托马斯·贝叶斯（Thomas Bayes）是一位英国18世纪的数学家，他的贝叶斯 …
贝氏
另外贝氏(Bayesian) 估计由於计算上的复杂度高, 因此限制了使用上的普遍性, 因为电脑工具的发 达，贝氏分析利用蒙地卡罗方 …
贝叶斯法
贝叶斯法(Bayesian)是近来发展的 一种新的系统进化分析方法(Rannalaetal.Bayesian ：统计算法过滤 性能描述 ...
贝叶斯定理的
英语新词汇与常用词汇的翻译(B) ... bayberry 月桂果实 Bayesian 贝叶斯定理的 bayman 港湾居民 ...
贝氏分析
可依每个环境调整贝氏分析 (Bayesian) 资料库样本，使垃圾邮件分析能力能更切合每个邮件环境的需求。超高效能的表现，单 …
贝叶斯原理
贝叶斯原理 (Bayesian) 过滤器一个基于统计学规律而判断邮件是否垃圾的方法。
贝叶斯学派
另一种视角称为贝叶斯学派（Bayesian），他们看待 这个公式的推导其实比较蹊跷。
1
The experimental results show that this algorithm has better performance when compared with traditional naive Bayesian algorithm.
实验结果表明，与传统的朴素贝叶斯算法相比，该方法具有更好的性能。
2
Construction of a Bayesian network for a complex problem is a system engineering. Certain programmers must be followed.
面向复杂问题的贝叶斯网的建模是一项系统工程，必须遵循一定的流程和方法。
3
Bayesian methods in particular are expected to revolutionize systems biology, just as they did bioinformatics and genetics.
贝叶斯定理曾经让生物信息学和遗传学发生翻天覆地的变化，如今它又有望让系统生物学发生彻底变革。
4
I decided to look into how well a much more starkly limited model space would work for a Bayesian spam filter.
我决定研究一下，对于贝叶斯垃圾邮件过滤器，一个绝对有限的模型空间究竟工作得有多好。
5
The stability of object types is one bottleneck in BP, leading to its robustness less than naive Bayesian network.
地物类别的稳定性是BP识别算法效率的瓶颈，导致其健壮性不如朴素贝叶斯网络。
6
The principle of the Bayesian estimation was used for forecasting the cotton phytophthora boll rot epidemics in Shanghai.
本文描述了贝叶斯估计理论的基本原理及其在植物病害流行预测中的应用。
7
The Bayesian and neural network classification methods are widely used for automatic and supervised image segmentation.
贝氏分类法与类神经网路则为监督式学习自动影像分割方法中较为被广泛应用者。
8
BFS ( Bayesian Forecasting System) is one of theoretic frames to produce probabilistic hydrological forecasts.
贝叶斯概率预报系统）就是构建概率水文预报的理论框架之一。
9
By employing Bayesian methods, it is possible to define a prior model and update the model as test data become available.
通过采用贝叶斯方法可能定义一个先验模型，并且随着实验数据的产生来对模型进行更新。
10
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
11
Frequency method and Bayesian method are the two main data mining algorithms used in pharmacovigilance nowadays.
目前各国普遍使用的数据挖掘方法主要有频数法与贝叶斯法。
12
Bayesian reliability sequential testing method is gave out for exponential distribution.
推导出服从指数分布的贝叶斯可靠性序贯试验方法。
13
A 3D feature is extracted from the accumulation and main motion orientation, and a Bayesian classifier is used for smoke detection.
根据累积量和主运动方向提取出3维特征矢量，采用贝叶斯分类器进行烟雾的检测。
14
This paper studies Bayesian neural network in power load forecasting, load forecasting power of the basic concepts and methods.
本文主要研究贝叶斯神经网络在电力负荷预测中的利用，论述了电力负荷预测的根本概念和措施。
15
The Bayesian is trained by you to get emails you consider to be spam.
贝叶斯是训练出来的，你得到发电子邮件给你认为是垃圾邮件。
16
The general static Bayesian game model is established for bidding quotation .
建立了投标报价一般静态贝叶斯博弈模型。
17
The learning of Bayesian Networksincludes structure learning and parameter learning and structure learning is the core of it.
贝叶斯网络学习分为结构学习和参数学习，其中结构学习是贝叶斯网络学习核心内容。
18
Results demonstrate that the Bayesian network classifiers based on MOR are able to reduce effectively the credit scoring risk.
结果表明，基于MOR的贝叶斯网络分类模型可以有效地减小信用评估风险。
19
Finally, we give Bayesian analysis of the long memory time series ARFIMA model.
最后，对长记忆时间序列ARFIMA模型进行了贝叶斯分析。
20
Then, Bayesian parameter estimation algorithm was applied to fuse multi-characteristic information.
利用贝叶斯参数估计算法进行多特征信息融合。
21
In a broad sense, Bayesian epistemology makes a general reference about all of the subjectivism theories about probable induction.
广义而言，贝叶斯认识论则泛指关于概率归纳的所有主观主义理论。
22
The likelihood is fused with prior human poses in a Bayesian framework to specify the coordinates of the pose in the manifold space.
通过融合似然概率和人体姿态的先验概率，利用Bayes推理框架就可以求出输入的人体姿态在流形空间的坐标。
23
Subsequently we construct Bayesian networks to obtain a global perspective of the relationships between these gene clusters.
随后，我们构建了贝叶斯网络来获得这些基因类间关系的一个全局观点。
24
The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.
对文档模型的分类，采用了贝叶斯分类器，并动态调整反馈器的参数。
25
Then, the Bayesian neural networks were used to predict the plasticity coefficient of strips.
然后应用贝叶斯神经网络预测带钢塑性系数；
26
Bayesian network classifier has good capability to handle problems with high uncertainty, and is fit for customer modeling in CRM.
基于贝叶斯网的分类器因其对不确定性问题有较强的处理能力，因此在CRM客户建模中有其独特的优势。
27
Bayesian network is a graphical model for probabilistic relationships among a set of variables.
贝氏网路在一堆变数中，是描述变数间机率关系的一个图解模型。
28
This paper analyzes the Bayesian theory and its development in detail, focusing on the nonlinear or non-Gaussian problems.
针对非线性、非高斯问题，文章详细分析了贝叶斯滤波的原理及其进展。
29
It appears to be objective. But when models are built, it is almost impossible to avoid including Bayesian-style prior assumptions in them.
但是模型建立起来后，几乎不可避免地把贝叶斯的预先假定理论也纳入了模型中。
30
Using Bayesian simulation, they performed indirect comparisons between fluoxetine and each of pregabalin and gabapentin.
运用贝叶斯状态估计滤波算法，他们对度洛西汀与普瑞巴林和加巴喷丁进行了间接比较。