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newpnn[1]
- 基于GMM的概率神经网络PNN具有良好的泛化能力，快速的学习能力，易于在线更新,并具有统计学的贝叶斯估计理论基础，已成为一种解决像说话人识别、文字识别、医疗图像识别、卫星云图识别等许多实际困难分类问题的很有效的工具。而且PNN不但具有GMM的大部分优点，还具有许多GMM没有的优点，如强鲁棒性，需要更少的训练语料，可以和其他网络其他理论无缝整合等。-GMM based probabilistic neural network PNN go
FullBNT
- 贝叶斯网络matlab源程序,可用于分类,欢迎大家下载测试-Bayesian network Matlab source, used to classify and you are welcome to download test!
JavaBayes_src_v.0.346.2
- java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters)
jBNC_src_v.1.2.2
- bayes network classifier toolbox 贝叶斯网络分类工具箱-bayes network toolbox Bayesian classifier network classifier Toolbox
jBNC_bin_v.1.2.2
- bayes network classifier toolbox 贝叶斯网络分类器工具箱的bin文件-bayes network toolbox Bayesian classifier network classifier Toolbox for the paper bin
bayes1111
- Bayes分类器设计,对模式识别有一个初步的理解，能够根据自己的设计对贝叶斯决策理论算法有一个深刻地认识-Bayesian classifier design, pattern recognition to a preliminary understanding, According to the design of Bayesian decision theory algorithm has a profound understand
KNN(CSHARP)
- 基于不断学习的贝叶斯-KNN文本分类算法的设计与实现,给出原始几个类别的文本文件，通过机器学习，获取各个类别文本内容的主要特征，在这个基础上，给出待分类的文件库，系统通过自动分类，对文件库中的文本进行分类，把文件分配到最有可能的类别中。-based learning Bayesian-KNN text classification algorithm design and implementation given several typ
pattern-recongnation
- 该程序设计采用了模式识别中的多种方法： 模板匹配§贝叶斯￥几何分类器×神经网络法等分类方法-The program designed with a variety of pattern recognition methods: template matching geometric § ￥ Bayesian classifier × neural network classification methods, etc.
Bayes++
- 图像分类器，可实现贝叶斯滤波以及分类，应用与人脸识别，车牌识别等等。-Image classifier, Bayesian filtering can be achieved as well as the classification, application and face recognition, license plate recognition and so on.
knn
- 朴素贝叶斯(Naive Bayes, NB)算法是机器学习领域中常用的一种基于概率的分类算法，非常简单有效。k近邻法(k-Nearest Neighbor, kNN)[30,31]又称为基于实例(Example-based, Instance-bases)的算法，其基本思想相当直观：Rocchio法来源于信息检索系统，后来最早由Hull在1994年应用于分类[74]，从那以后，Rocchio方法就在文本分类中广泛应用起来。-Naive
NonparametricBayesianImageSegmentation
- 贝叶斯算法相关，贝叶斯算法是模式分类领域的鼻祖算法，优势明显缺陷亦明显-Bayesian algorithm related to Bayesian algorithm is the originator of the field of pattern classification algorithms, have obvious advantages are obvious defects
bayes
- bayes数据挖掘；基于贝叶斯定理的分类方法-Bayes data mining based on Bayesian classification method
spamFiliter
- 中文邮件过滤。对训练邮件分词训练贝叶斯模型。然后对测试邮件分类-Chinese e-mail filtering. Training e-mail training Bayesian segmentation model. And then the test e-mail classification
TextClassification
- 帮师姐做的毕业论文：基于朴素贝叶斯的文本分类器，使用Visual C# 2005编写，文本语料库包括测试语料库和训练语料库（保存再Access数据库中）-师姐help make the thesis: the text-based Naive Bayesian classifier, the use of Visual C# 2005 to prepare, text corpora, including test and traini
classify
- 这是一些分类器的综合包括贝叶斯K聚类等 -This is some of the integrated classifier including Bayesian clustering, such as K
NaiveBayes
- 贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X |
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to ide
11912873naivebayesclassificationbasedongenetic
- 贝叶斯网络分类器的一点小程序，也许有用，请各位资源下载-Bayesian Network Classifier for small procedures, may be useful, please download resources
BayesNetWorkMSBNx
- 数据挖掘中贝叶斯信念网络的软件，可进行描述与分类。-Data Mining of Bayesian belief networks in software, can be described and classified.
KNNwebpageclassificate
- 实现中文网页分类，使用贝叶斯和KNN算法，基本功能可实现-The achievement of the Chinese web page classification, the use of Bayes and KNN algorithm, the basic functions can be realized