搜索资源列表
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!
FullBNT-1.0.2
- 贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型,以及实现统计推理-Bayesian network Matlab achieve. Bayesian networks can create, model training, and the realization of statistical reasoning
bayesc
- matlab编写,贝叶斯估计程序,简单易懂。-Matlab prepared, Bayesian estimation procedures, simple and understandable.
EXO1
- 贝叶斯原理实现一个关于气温测试的例子,使用matlab.-Bayesian principles to achieve a temperature of the test examples, the use of Matlab.
bayes_k_nn
- 求Weighted/Non-weighted贝叶斯k近邻模型的matlab程序,内含具体说明。-seeking Weighted / Non-weighted k neighbors Bayesian model matla b procedures, containing details.
bayesmean
- 一个matlab程序,有关已知方差的高斯分布的均值贝叶斯学习方法。详见程序内说明。-a Matlab procedures, the known variance of the Gaussian distribution of the mean Bayesian learning methods. See Note procedures.
shiyan2
- 模式识别相关实验 Fisher线性判别准则(Pattern recognition)
手写体数字识别界面程序
- 模糊模式识别,贝叶斯,手写识别。用于识别手写的数字。有样本图片。(Fuzzy pattern recognition, Bayes, handwriting recognition. Used to recognize handwritten numbers.)
PNN
- 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。(The rate neural network, first proposed in 1989, is a branch of the RBF network and is one of the fe
Beyes
- 利用matlab实现简单的贝叶斯分类,小案例(Using MATLAB to realize Bias classification)
mcmc
- MCMC方法是一种重要的模拟计算方法,马尔可夫链蒙特卡尔理论(Markov chain Monte Carlo:MCMC)的研究对建立可实际应用的统计模型开辟了广阔的前景。90年代以来,很多应用问题都存在着分析对象比较复杂与正确识别模型结构的困难。现在根据MCMC理论,通过使用专用统计软件进行MCMC模拟,可解决许多复杂性问题。此外,得益于MCMC理论的运用,使得贝叶斯(Bayes)统计得到了再度复兴,以往被认为不可能实施计算的统计方法变得是很轻而易举了。(The MCMC method is
BMELIB2.0b
- 最大熵,用于数据融合,数据补充等方面的,贝叶斯最大熵原理(Maximum entropy, for data fusion, data supplement, and other aspects, Bayesian maximum entropy principle)
lizilvbo
- 粒子滤波是以贝叶斯推理和重要性采样为基本框架的,本程序为粒子滤波的简单实现。(A simple particle filter is used for data processing.)
BayesThresh2
- matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序,希望对大家有帮助,仅供大家参考,希望有用(Matlab Bias and the general threshold soft threshold image denoising method MATLAB program, hope to help everyone, for your reference only, hope to be useful.)
模式识别实验一
- matlab,模式识别,基于Iris数据设计编写两类正态分布模式的贝叶斯判别程序(Pattern recognition report, based on Iris data design, two kinds of Bayesian discriminant program for normal distribution mode are written.)
image_div
- 简单的关于图像处理的matlab程序,主要涉及贝叶斯的图像分割和直方图估计的方法。(A simple matlab program for image processing. A method of image segmentation is mainly concerned with Bayes and histogram estimation.)
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器(判别分析,贝叶斯,神经网络,支持向量机,决策树,基于规则的分类器,升压、装袋、堆放、随机森林和其他合奏,广义线性模型,线性,偏最小二乘法和主成分回归,logistic回归、多项式回归、多元自适应回归样条等方法),实现在WEKA,R(有或没有插入包),C和Matlab,包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class
BCS-FOCUSS
- 仿真分析了贝叶斯算法以及FOCUSS算法对信号处理的性能,并比较了这两种算法的结果(The performance of Bayesian algorithm and FOCUSS algorithm for signal processing is simulated and analyzed, and the results of the two algorithms are compared.)
Pattern Recognition
- matlab实现一些基础的模式识别工作,如贝叶斯分类,聚类算法,bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)
koopbayesian
- 《Bayesian Econometrics》——Gary Koop的详细MATLAB程序(分章节)。("Bayesian economics" - Gary Koop's detailed matlab program (divided into chapters).)