Bayesian algorithm, we want to help.
贝叶斯算法，希望对大家有帮助。
Finally introduced the fundamental step of filtering spam mail with Bayesian algorithm.
最后介绍了贝叶斯过滤算法反垃圾邮件的基本步骤。
Finally, we propose an improved Bayesian algorithm to estimate driver's fatigue over integration of visual information.
最后提出一种改进的贝叶斯算法融合多视觉信息来估计驾驶员的疲劳程度。
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。
Bayesian algorithm based on the content filter showed a high degree of accuracy when filter the spam therefore it has received extensive attention.
基于内容的贝叶斯算法在垃圾邮件处理上表现出了较高的准确度，因此受到了广泛的关注。
It has made good identify results, which advanced intelligent Bayesian algorithm into the behavior and gait recognition in the above mentioned tele-monitoring process.
在上述行为识别监护过程中我们将贝叶斯智能算法引入到行为和步态的识别中，取得了不错的识别效果。
On the customer support side, a Bayesian Filtering algorithm zaps spam and turns email into trackable cases routed to the correct department.
在客户支持方面，贝叶斯过滤（Bayesian Filtering）算法会阻击所有spam，让email能够准确投递到相应的部门。
A novel clustering algorithm based on Bayesian model was introduced into the analysis of large-scale gene expression profiles.
在大规模基因表达谱的数据分析中引入了一种全新的基于贝叶斯模型的聚类算法。
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。
To the weight update of Latent Semantic Analysis(LSA)model, this paper proposes an adaptive weight update algorithm based on Bayesian theory(ALSAB).
针对潜在语义分析（LSA）模型的权重更新问题，提出了一种基于贝叶斯理论的自适应权重更新算法ALSAB。
Bayesian fusion model is put foreword with a corresponding algorithm designed to forecast the oil reservoir distribution.
针对油藏分布预测的问题，提出了一个贝叶斯网络融合模型并设计了相应的算法。
The new algorithm is based in the property of tendency and normal distribution of consistent Bayesian learning.
新算法是以相容的贝叶斯学习的渐进正态性为理论基础。
The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.
研究了基于贝叶斯网络的推理模型以及基于此模型的推理算法。
My main work is applying the particle filter algorithm to random simulate the non-linear Bayesian dynamic models.
我的主要工作是把粒子滤波算法引人到非线性贝叶斯动态模型中来，对非线性模型进行了模拟。
In one embodiment, the machine learning algorithm generates a Bayesian network.
在一个实施例中，机器学习算法生成贝叶斯网络。
Firstly, the fundamentals of Bayesian networks are summarized. Then algorithm and data structure are described in detail. Finally, the implementation process is given.
首先我们总结了贝叶斯网络的基础，然后详细地描述了算法和数据结构，最后给出了具体实现过程。
This paper introduces inference algorithm of Bayesian network and analyzes intrinsic characteristic and reasoning mode of situation assessment.
该文介绍了贝叶斯网络推理算法，分析了态势估计问题的本质特征和推理模式。
The concept of stateful alert correlation and a correlation algorithm based on dynamic Bayesian planning graph are proposed.
提出状态报警关联的概念以及基于动态贝耶斯规划图的报警关联算法。
Parameter values in these models were estimated with Bayesian method. Realizations of different shocks were also obtained with Kalman smoothing algorithm.
利用贝叶斯方法估计了模型参数后，又通过卡尔曼平滑算法估计了模型中各个外生冲击的实现值。
This paper has researched information transform algorithm, and presented the Bayesian network structure of accident reason inference according to reversion inference.
研究了消息传播算法，根据贝叶斯网络的逆向推理给出了事故原因推理的贝叶斯网络结构；
The probability updating algorithm for acyclic Temporal Bayesian network based on model simplification and general probability updating algorithm for Temporal Bayesian network are presented.
其中在时间贝叶斯网络研究中，分别提出了适用于非循环时间贝叶斯网络的基于模型化简的概率更新算法和一般概率更新算法。
Secondly, an efficient algorithm FCLBN for learning Bayesian network from extremely small datasets is proposed.
其次，建立了一种小规模数据集下学习贝叶斯网络的有效算法FCLBN。
We integrate the Sparse Bayesian Learning algorithm into the SMC blind receiver to improve the performance under sparse channels.
我们将稀疏贝叶斯学习与序列蒙特卡罗盲均衡算法结合，提高了原算法的性能。
A Naive Bayesian classification based on clustering principle (CNBC) by introducing clustering algorithm into Naive Bayesian classification.
将聚类算法引入到朴素贝叶斯分类研究中，提出一种基于聚类的朴素贝叶斯分类算法(CNBC)。
The intrusion detection algorithm combining with LZW and Bayesian MARS algorithm performs steadily with various data, which is practicable and feasible.
LZW算法与贝叶斯mars相结合的入侵检测算法，对各种数据表现稳定，具有一定可行性和实用性。
In this paper, a level set segmentation algorithm based on Bayesian classification for medical image segmentation was proposed.
本文提出了一种结合贝叶斯分类的水平集方法用于医学图像分割。
The algorithm handles uncertain information with Bayesian inference, giving a quantitative evaluation of the security state of a system and eliminating false alarms effectively.
算法用贝耶斯推理处理不确定信息，量化地评估系统安全状态，并且有效地消除误报。
The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
The Word Sense Disambiguation (WSD) study based on large scale real world corpus is performed using an unsupervised learning algorithm based on DGA improved Bayesian Model.
采用基于依存分析改进贝叶斯网络的无指导的机器学习方法对汉语大规模真实文本进行词义消歧实验。
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