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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
朴素贝叶斯
- 调用过程 CM = Confusion_matrix(train_predicts, train_targets) [combining_predicts, errorrate] = combining_NB(DP, test_targets, CM) DP，三维数组，(i,j,k)为第k个样本的DP矩阵 targets 为 0 1 2 -process called CM = Confusion_matrix (train_predicts, train_targets) [combining
Classifier4J
- Classifier4J这个Java类库为文本自动分类提供了一个API。缺省（目前）实现的API是一个贝叶斯分类器。这个类库可以用于多个目的－可能作为一个垃圾邮件过滤器或一个blog-Classifier4J Java class library for the automatic text classification provided an API. Default (current) to achieve the API is a Bayesian classifier. This lib
bayes在分类中的应用
- 程序用C语言实现了贝叶斯在数据挖掘中分类和预测中的应用，通过程序可以很好的进行分类和预测。-This program use C language to realize the application of bayes in data mining and forecasting,you can use this program to make a good classification and forecasting
sBOA
- 贝叶斯优化算法是一种新的演化算法，通过贝叶斯概率统计的知识来学习后代，可是使演化朝有利的方向前进，程序用C实现了贝叶斯优化算法。-Bayesian Optimization Algorithm is a new evolutionary algorithm, through Bayesian probability and statistics to learn the knowledge of future generations, but to enable the evolution to
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!
matlab作业
- 模式识别一份很好的作业,包括线性分类器；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,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
TextCategorization
- 基于朴素贝叶斯算法实现的中文文本分类程序。可以对中文文本进行分类识别，使用时先对分类器进行训练，然后进行识别。该Beta版本仅支持对3类文本进行分类，使用简单的中文分词方法，本程序尚不具备实用性，用于算法研究和改进。-based on Bayesian algorithms to achieve the Chinese text classification procedure. Can the Chinese text classification identification, the us
mimr_s200502106
- 模式识别-贝叶斯最小错误率判别一幅图像是属于人，还是属于背景。图像经过预处理。-pattern recognition - Bayesian smallest error rate discriminant image is a person, or belong to the background. After pretreatment images.
prob
- 用于计算贝叶斯频谱概率，可用于实际工程！！!-used to calculate the Bayesian probability spectrum can be used for actual works! ! !
VBEMGMM
- 用Matlab写的高斯混合模型的贝叶斯EM估计，-Variational Bayesian EM for Gaussian mixture models
upf_demos
- 粒子滤波改进算法仿真比较，我觉得很好用，大家快下载，贝叶斯滤波适合非线性和非高斯环境，这种非线性统计理论很先进-Improved particle filtering algorithm for simulation and comparison, I feel useful, we quickly download, Bayesian filtering for nonlinear and non-Gaussian environment, which is very advanced sta
Bayes_Classifier_Iris
- 用朴素贝叶斯方法实现了Iris数据的分类，还附了实验报告-Bayesian methods implemented with the Iris data classification, but also with the experimental report
mytfr
- 这是人工智能不确定性推理中贝叶斯方法的程序，是用VC++做的。由于是学生实验，所以比较简单。-It is the uncertain reasoning in artificial intelligence--Bayesian approach procedure 。I s done with VC++. As is the student experiment, it is more simple.
IEEEtransactions_on-pattern-analysis
- 基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
banjo.2.0.1
- 贝叶斯网络是一种概率网络，它是基于概率推理的图形化网络，而贝叶斯公式则是这个概率网络的基础。贝叶斯网络是基于概率推理的数学模型，所谓概率推理就是通过一些变量的信息来获取其他的概率信息的过程，基于概率推理的贝叶斯网络(Bayesian network)是为了解决不定性和不完整性问题而提出的，它对于解决复杂设备不确定性和关联性引起的故障有很大的优势，在多个领域中获得广泛应用。(Bias network is a probabilistic network, which is a graphical
rgbwork
- 用于RGB图像分割（基于三维高斯贝叶斯）(For RGB image segmentation (based on 3-D Guess Bayesian Decision Theory))
锂电池退化GPR
- 高斯过程回归是一种基于贝叶斯原理的统计机器学习方法，将先验分布通过贝叶斯定理转化成后验分布，与其他没有采用贝叶斯技巧的预测方法而言，高斯过程最大的优点是能方便地推断出超参数，同时也能方便地给出预测值的置信区间(Gaussian Process Regression is a statistical machine learning method based on Bayesian principle. It transforms prior distribution into posterio
BIC确定GMM聚类簇数
- 通过贝叶斯信息准则确定高斯混合聚类方法的聚类簇数(Determining the Cluster Number of GMM Clusters by BIC)
变分贝叶斯稀疏恢复代码
- 基于贝叶斯压缩感知的变分贝叶斯稀疏恢复代码，是入行压缩感知，变分推断的良好入门代码