Bayes classifier

英 [beɪz ˈklæsɪfaɪə(r)] 美 [beɪz ˈklæsɪfaɪər]

网络  贝叶斯分类器; 贝氏分类器; 贝氏分类法

计算机



双语例句

  1. The first approach is a simple Map-Reduce-enabled Naive Bayes classifier.
    第一种方法是使用简单的支持Map-Reduce的NaiveBayes分类器。
  2. The main idea of which consists of three parts: the discriminating feature analysis of the images, the statistical modeling of face and non-face classes, and the Bayes classifier for face detection.
    研究了人脸检测的贝叶斯特征判别法,该方法包括三个部分:原始图像的特征判别分析、人脸区和其它区的统计建模以及贝叶斯分类器。
  3. Experimental results show that Bayes classifier is suitable for the transformer fault diagnosis.
    实验表明提出的选择性贝叶斯分类器适于变压器故障诊断。
  4. The second method uses Bayes classifier in the first step and decision tree classifier in the second step.
    ②以贝叶斯和决策树分别为第一、第二步使用分类器的两步方法;
  5. Research on Traffic Pattern Recognition Technology Based on Incremental Naive Bayes Classifier
    基于增量式朴素贝叶斯分类方法的电梯交通模式识别方法的研究
  6. TAN ( tree augmented Nave Bayes) takes the Nave Bayes classifier and adds edges to it, it is efficient extend of Nave Bayes.
    树扩展型朴素贝叶斯(TAN)分类器放松了朴素贝叶斯的属性独立性假设,是对朴素贝叶斯分类器的有效改进。
  7. A Modified Bayes Classifier Using Association Rule Forest
    一种应用关联规则森林的改进贝叶斯分类算法
  8. An user knowledge based na? ve bayes classifier was proposed in order to conquer the problem that most of the E-mail is unstructured and need users decoding.
    在垃圾邮件分类和朴素贝叶斯算法研究的基础上,提出了基于用户知识的贝叶斯分类算法。
  9. Then the patterns of the structure are classified using correlation method and/ or Bayes classifier. Some simulating experiments have been done.
    然后采用相关法和/或贝叶斯分类器来分类结构模式。
  10. The system performance comparing with SVM classifier and Naive Bayes classifier under the same condition.
    相同条件下与SVM和NaiveBayes分类器的分类性能比较。
  11. Then use the BP neural network, the least distance arithmetic and the Bayes classifier to classify and recognize the cancer-cell images. At last, recognizing results of these three methods are compared.
    再分别采用神经网络中的多层前向网络(又称BP网络)分类器、最小距离分类器和贝叶斯决策理论分类器三种分类器对癌细胞图像进行分类识别,并对三种方法分类识别的结果进行比较。
  12. Bayes classifier model is a powerful tool for classifying attack types in intrusion detection.
    贝叶斯分类模型是入侵检测中用于攻击类型分类的有力工具。
  13. Rough set and Bayes classifier were integrated in virus detection.
    在病毒程序检测中将粗糙集与贝叶斯分类器相结合。
  14. A Classification Method of Chinese Web Pages Based on Rough Set and Bayes Classifier
    一种基于粗集与贝叶斯分类器的中文网页分类方法
  15. This paper presents an efficient automatic categorization system for Chinese journals based on Bayes classifier.
    本文设计了一个有效的基于贝叶斯分类器的中文期刊自动分类系统。
  16. In this paper, we investigate enhancement of naive Bayes classifier using feature weighting technique.
    该文利用特征加权技术来增强朴素贝叶斯分类器。
  17. A new technique to identify radar targets, projection mathod, is presented in this paper. It is proved that the projection method is equal to optimal Bayes classifier under some conditions.
    本文提出了一种雷达目标识别的新方法&投影法,证明了在一定条件下投影法等价于最优Bayes分类器。
  18. We first analysis the characteristic of HTML documents, then discuss the key technique of automatic text classification, including Vector Space Model, Chinese word segmentation, text feature selection, and implement a multinomial NaiVe Bayes classifier to classify Chinese Web page.
    本文首先分析了Web页面的组织特点,对文本自动分类中使用到的向量空间模型、分词、特征选择等关键技术进行了深入的探讨,并实现了一个多项式朴素贝叶斯分类器对中文网页进行分类。
  19. This paper introduced Bayes classifier, and presented a method for knowledge mining from GIS spatial database, used it to support image classification.
    介绍了Bayes分类器,提出了从GIS空间数据库中挖掘知识用以辅助进行遥感影像分类的方法。
  20. The novelty of this paper comes from the integration of the Gabor transform of mean face, face feature analysis of the input image, and the Bayes classifier for frontal face detection.
    该方法组合了Gabor小波变换、输入图像的Gabor特征分析和Bayes分类器来进行正面人脸检测。
  21. In addition, tow kinds of classifiers, Bayes classifier and SVM classifier, are implemented and their classification effects are compared.
    另外,本文分别实现两种分类方法&Bayes分类法和SVM分类法,并对它们的分类效果做了比较。该分类系统还集成了针对Bayes和SVM这两种分类法的训练算法。
  22. Compare with the traditional naive bayes classifier, some efficient implementations for our algorithms confirmed the method was correct and feasible.
    通过与传统的朴素贝叶斯分类器进行对比实验,验证了该方法的可行性和有效性。
  23. The universal approximation of this model has been proved. The method and process of obtaining the fuzzy if-then rules and conditional probability also has been research based on the former achievement. The probability factor obtaining method based on Fuzzy Naive Bayes Classifier is also discussed.
    在前人研究的基础上,讨论了一种从数据集中提取模糊规则if-then及其条件概率的方法和步骤,同时证明了这种系统是一个通用逼近器。
  24. This paper also compares various classifiers, and then applies Native Bayes classifier to the problem.
    在比较多种分类器的基础上,使用朴素贝叶斯分类器对中文实体进行分类。
  25. In the process of single classifier development, this paper modifies naive bayes classifier for its output problem.
    在单分类器模型开发过程中,针对朴素贝叶斯分类模型的输出问题进行修正。
  26. In the experiment, we use naive bayes classifier and SVM classifier to verify the effectiveness of this method. Thirdly, in text clustering, we also map terms into cloud droplets and condense them into clustering-document-cloud.
    实验采用朴素贝叶斯和SVM这两种分类器来验证这种方法的有效性。第三、在文本聚类中,利用云模型理论将特征词映射成聚类词云滴,并将词云滴跃升聚类文档云。
  27. In this experiments we use support vector machines, Bayes classifier and the K nearest neighbor classifier as the classifier combined with the rules and use a variety of feature extraction methods and feature weighting method to do experiments and then compare their result.
    实验中采用支持向量机、贝叶斯分类器和K近邻分类器作为分类器与规则结合,并且使用多种特征提取方法和特征权重计算方法来进行对比实验。
  28. We test two classifiers, SVM and Bayes classifier. Simulation results demonstrate that the categorization accuracy with SVM classifier is better than with Bayes classifier.
    我们采用了两种分类器,分别是支撑向量机和贝叶斯分类器。实验结果证明支撑向量机可以得到更好的分类结果。
  29. The SD algorithm is a new hybrid of global learning and local learning. Thus it can improve the generalization ability of Naive Bayes classifier.
    SD算法是一种组合全局学习和局部学习的算法,因此能够提高NaiveBayes分类器的泛化能力。
  30. By contrast, the predication accuracy of SVM model is higher than the Bayes classifier model.
    通过对比,支持向量机模型比贝叶斯分类器模型的预测准确率高。