搜索资源列表
classifier
- 一个很好的文本分类器,采用朴素贝叶斯分类的方法,并加以改进!-a very good text classifiers using Bayesian classification methods, and improved!
BayesClassifier
- 一个用c#写的贝叶斯分类程序源代码,带图形界面!-c# using a Bayesian classification write source code, with a graphical interface!
Bayes_Classify
- 贝叶斯分类器,利用后验概率,对已知属性对象进行分类-Bayesian classifier, the use of posterior probability of the known properties of the object classification
work_for_pattern_recognition
- 通过设计线性分类器;最小风险贝叶斯分类器;监督学习法分层聚类分析;K-L变换提取有效特征,设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract ef
naivebayes
- 模式识别中朴素贝叶斯分类器,实习数据的良好分类技术-naive bayesian classification
Bayes_EM
- 利用matlab实现的基于EM算法的贝叶斯分类器的源代码,可以用来分类或识别,很值得收藏-Using matlab to achieve EM algorithm based on Bayesian classifier of the source code can be used to classification or identification, it is worthy of collection
judger
- 最小错误率和最小风险贝叶斯分类器,附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
Matlab2
- 朴素贝叶斯分类器,使用MATLAB语言编写,对文档进行自动分类-Naive Bayes classifier
Ionosphere_LR
- 电离层的贝叶斯分类器,使用matlab编程开发,具有正确率高的优点-Ionosphere Bayesian classifier, using the matlab program development, the advantages with the correct rate
Bayes
- 贝叶斯分类器,基于最小错误率的贝叶斯分类器-Bayes
FullBNT-1.0.4
- 比较全面的贝叶斯工具箱,包含贝叶斯分类器等的设计等-bayes tools box
NaiveBayesClassifier
- 利用Java实现的贝叶斯分类器,目的是进行文本分类-Bayesian to web classify
bayes
- 朴素贝叶斯分类器包括了停用词的处理,结果是很不错的-Naive Bayesian classifier
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
naiveBayesClassify
- 机器学习算法,朴素贝叶斯分类器,常用作文本分类,或者用在本体匹配算法中用作相似度的计算-Machine learning algorithm, naive bayes classifier, commonly used ZuoWenBen classification, or use in ontology matching algorithm used in the calculation of similarity degree
贝叶斯分类器处理IRIS数据集
- 用贝叶斯分类器处理IRIS数据集 程序亲测可运行
模式识别
- 简单的贝叶斯分类器,实现基于身高体重的男女性别分类(Simple Bias classifier)
Bayes classifier
- 基于贝叶斯分类器的数据处理与MATLAB实现(Data processing based on MATLAB implementationof Bayes classifier)
贝叶斯判决
- 假定某个局部区域细胞识别中正常w1和非正常w2 两类先验概率分别为: 正常状态:P(w1)=0.9 ; 异常状态:P(w2)=0.1 。 现有一系列待观察的细胞,其观察值为: -2.67 -3.55 -1.24 -0.98 -0.79 -2.85 -2.76 -3.73 -3.54 -2.27 -3.45 -3.08 -1.58 -1.49 -0.74 -0.42 -1.12 4.25 -3.99 2.88 -0.98