| 1. | Spam filtering gateway based on nb algorithm
基于朴素贝叶斯算法的垃圾邮件网关 |
| 2. | Design of mail filter system based on arithmetic
基于最小风险贝叶斯算法的邮件过滤系统设计 |
| 3. | Research of unknown virus detection on bayes algorithm
基于贝叶斯算法的未知病毒检测的研究 |
| 4. | Compared with the other text classifiers , naive bayes algorithm has more wide1y been used in the area of text classification for the simply method can classify texts correctly and more quickly
基于概率的朴素贝叶斯算法具有方法简单、运算速度快、分类精确度高等优点，在文本分类中得到广泛应用。 |
| 5. | To analyze the theory of bayesian algorithm and define a tcm symptom complex diagnose model . to define the feature space and its dimension . a demo of tcm symptom complex diagnosing is also build
分析了贝叶斯算法的工作原理，并建立起中医证候诊断的模型：建立起以症状为维度的特征空间，以证侯为分类目标的空间，初步建立起一个中医证侯诊断的原型演示系统。 |
| 6. | To overcome the difficulty in the identification of parameters of the water environmental system caused by the limited observation data with noise , bayesian algorithm was constructed for the parameters identification of the water environmental system , taking one dimensional water quality model as example
摘要为了克服监测数据有限而且存在误差给水环境系统参数识别带来的困难，以一维河流水质模型方程为例，构建了水环境系统参数识别的贝叶斯算法。 |
| 7. | Merits and limitations of the prevalent text classifiers , and analyzes the limitation when naive bayes algorithm is used for filtering mail . on the basis of naive bayes algorithm , a new mail filter based on the risk minimization bayes algorithm is proposed in this paper , which can not only classify the legitimate mail correct1y , but also improve the accuracy of classification . the experimental results show that the filter has better performance
本文介绍了当前流行文本分类器的工作原理及其优缺点，分析了传统贝叶斯算法在邮件过滤过程中所存在的局限性，在此基础上，提出了基于最小风险贝叶斯邮件过滤算法，实验结果表明，该算法能在正确分类邮件的同时，减少合法邮件的误判率，在对垃圾邮件进行分类与过滤时具有较好的性能。 |
| 8. | Pvm , belongs to now , has been used widely . the paper implements the parallel algorithm of optimization bayesian classification on pvm , and analyzed acceleration rate and complexity . the analysis indicates that it is excellence when where is amount of class or the data is very large
本论文在pvm的基础上研究并实现了优化贝叶斯算法的并行化，并且分析了该算法的加速比和时间复杂度，分析表明在类比较多、或者待分类的数据样本比较多时，用该并行算法可以较大幅度提高数据分类的效率。 |
| 9. | However , the conditional nayve bayes method does n ' t consider the different features between the legitimate mai1 and the junk in the process of classifying and filtering mail and do n ' t take into account the loss of misclassifying legitimate mail as junk , there are some limitations on filtering mail
但是，在邮件过滤过程中，合法邮件被误判为垃圾邮件将可能给用户带来巨大的损失。传统的朴素贝叶斯算法在对邮件进行分类与过滤时，没有充分考虑到合法邮件与垃圾邮件具有的这一不同特性，因此用于邮件过滤时有一定的局限性。 |
