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newpnn
- 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 good generalization ability, the
pattern-recognize
- 模式识别分类程序，贝叶斯，神经网络分类训练程序，很不错啊-the classification procedures, Bayesian neural network classifier training procedures, and it is very responds :
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
DSPLIT
- 对手写数字进行分类并识别 应用模板匹配算法进行分类。 应用Bayes算法进行分类。 应用线性函数算法进行分类。 线性算法进行分类。 应用神经网络算法进行分类。-right handwritten figures for the identification and classification of application template matching algorithm for classification. Application of Bayesian class
recongnation
- 图像模式识别 模板匹配法 神经网络分类器 几何分类器 基于概率统计的贝叶斯分类器-image pattern recognition template matching neural network classifiers classification is based on geometric probability and statistics Bayesian classifier
EMdemo
- n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
ParticleFilteringforDynamicConditionallyGaussianMo
- In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic
Example4
- 采用贝叶斯正则化算法（抑制过拟合）提高 BP 网络的推广能力，采用两种训练方法， 即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络；-Bayesian regularization algorithm (inhibition of over-fitting) to improve the generalization ability of BP network, using two training methods, that LM opti
Surfovisor
- Surfovisor features: * client-server architecture - makes it possible to filter whole network as well as only single computer * many filters - IP:port black-list, URL black-list, URL white-list, bad word filter, bayesian filtering, file extensi
hand
- matlab的手写体识别代码 主要有贝叶斯、bp神经网络等方法-The handwriting recognition matlab code are Bayesian, bp neural network method
LEAD
- This toolbox contains programs for the multi-label classifier which explicitly exploits label dependency with Bayesian network structure.
matlab
- 用MATLAB进行贝叶斯网络概率计算，通过一个案例进行说明(Bayesian network probability calculation with MATLAB)
贝叶斯网络工具包
- 贝叶斯网络工具包安装教程 贝叶斯网络参数过程中最大似然估计的详细过程(BAYESIAN NETWORK (Bayesian network parameters maximum likelihood estimation process detailed process))
bnt-master
- 动态贝叶斯网络程序包，最新版，包含所有子函数和应用(Dynamic Bayesian network package, the latest edition, contains all sub functions and applications.)
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)
BN例子
- 贝叶斯网络应用的一个例子，吸烟患病模型 1建立贝叶斯网络结构并制定条件概率表 2画出建立好的贝叶斯网络 3输入证据,进行推理 4显示推理结果(An example of a Bayesian network application, the smoking model 1 Establish a Bayesian network structure and establish a conditional probability table 2 draw a well-establis
贝叶斯网络的改进
- 本程序是对贝叶斯网络的改进，具有非常好的效果与价值，愿与各位分享。(This program is an improvement of the Bayesian network and has very good effects and value. I would like to share it with you.)
StructureLearningLibraries-master
- 贝叶斯网络又称信度网络，是Bayes方法的扩展，是目前不确定知识表达和推理领域最有效的理论模型之一。从1988年由Pearl提出后，已经成为近几年来研究的热点.。一个贝叶斯网络是一个有向无环图(Directed Acyclic Graph,DAG),由代表变量结点及连接这些结点有向边构成(Bayesian network, also known as belief network, is an extension of Bayes method and one of the most effec
FullBNT-1.0.7
- 贝叶斯工具箱,本人亲测好用，用于复杂贝叶斯网求解。(Bayesian Tools boxes which can be used to complex Bayesian network)