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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
基于贝叶斯网络的源程序
- 基于贝叶斯网络的源程序，可用于对数据的分类工作，效果较好,Based on Bayesian network source, the data can be used for the classification of work, better
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.
bayescode
- 贝叶斯分类，线性非线性分类，神经网络分类-Bayesian classification, linear non-linear classification, neural network classifier
shiyan_moshi
- 模式识别的 图像的贝叶斯分类 图像的贝叶斯分类 神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
naive_baysian_classify
- 朴素贝叶斯公式文本分类 把一片文章读入一个矩阵 分别计算每个词对应训练网络出现的概率 -Bayesian text classification to an article in the formula to read a matrix were calculated for each word corresponds to the training network the probability
mixtureBNT
- 上传-混合高斯贝叶斯网络分类器，有数据可以直接运行，互相交流，互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
FullBNT-beiyesi
- 贝叶斯网络分类，matlab语言编写的，是一个很不错的算法-Bayesian network classifiers, matlab language, is a very good algorithm
xucui
- 这是自己写的一个贝叶斯网络分类器，可能存在问题，自己调一下-This is to write a Bayesian network classifiers, there may be problems, make your own look
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
Bayesian
- 关于贝叶斯网络分类的相关PDF资料，和机器学习的书籍-Bayesian net classification
B11912873naiva
- 贝叶斯网络分类器的一点小程序，也也许有用，请各位资源下载可直接使用。 -Bayesian network classifier little program, also may be useful, please Download can be used directly.
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
PNN网络代码
- 概率神经网络(Probabilistic Neural Network)是由D.F.Speeht博士在1989年首先提出，是径向基网络的一个分支，属于前馈网络的一种。它具有如下优点：学习过程简单、训练速度快；分类更准确，容错性好等。从本质上说，它属于一种有监督的网络分类器，基于贝叶斯最小风险准则。(Probabilistic neural network was first proposed by Dr. D.F.Speeht in 1989. It is a branch of radial
bayes
- weka中的贝叶斯分类算法，朴素贝叶斯，贝叶斯神经网络，文本分类(Bias classification algorithm in Weka, simple Bias, Bias neural network, text classification)
k2
- 利用K2算法构建贝叶斯网络，可用于分类、预测等(Construction of Bayesian network by K2 algorithm)