搜索资源列表
Machine-Learning-Java
- 机器学习算法利用JAVA语言实现，包括朴素贝叶斯算法，ID3算法等各种机器学习算法-Machine learning algorithms using JAVA language, including the Naive Bayes algorithm, ID3 algorithm and other machine learning algorithms
wavelet--image-denoising
- 基于小波系数的bayes估计的图像去噪，根据论文所讲的算法进行的编程，运行结果还不错。-Bayes estimation based on wavelet coefficients of image denoising, according to the paper talking about the programming algorithm, the results good.
MachineLearning
- 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-MCMC method is an im
shouxieshouzirecognition
- 基于vc++的手写数字识别系统，包括模板匹配，Bayes分类，神经网络分类等算法-Vc++ based on the handwritten numeral recognition system, including template matching, Bayes classification, neural network classification algorithm
ClassifierforUSPSdata
- 用于对USPS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。 -USPS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of class
question1
- 最小错误率的贝叶斯分类器设计matlab代码实现-Bayes minimum error rate classifier design matlab code
TextCat
- 用朴素贝叶斯算法来进行文件分类,未包含训练数据.-Naive Bayes algorithm is used to carry out classification of documents, not included in training data.
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
bb_var
- Extension packages to Bayes Blocks library, part 1
bb_hnfa
- Extension packages to Bayes Blocks library, reported in "Nonlinear independent factor analysis by hierarchical models" (Valpola, Ö stman and Karhunen, 2003). -Extension packages to Bayes Blocks library, reported in
basedonbayes
- 空间数据分析中最常用的是聚类分析，基于bayes的统计分析识别，一种特征分类方法-Spatial data analysis is the most commonly used cluster analysis, based on the Bayes statistical analysis of recognition, a feature classification method
SEM
- structure EM算法 bayesian network structure learning-structure EM algorithm for bayesian network structure learning
SpamFiltering
- 该程序实现的是一个垃圾邮件过滤系统，方法采用的是NAIVE Bayes，语料库用的是LINspam—public，程序中有使用说明，希望大家一起探讨改进一下.-The program is a spam filtering system, methods used NAIVE Bayes, Corpus used LINspam-public, the procedures in use, hoping to improve what we explore.
gmmbayestb-v1.0.tar
- gmm和bayes估计，适合于图像处理中图像分割。-gmm and Bayes estimates, suitable for image processing in image segmentation.
bayesgauss
- 图像处理MATLAB源代码，这个是贝叶斯估计-bayes guess
BayesianCS_src
- this source about naive bayes program and nice program
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
depart
- 包括Bayes分类器、线性分类器、非线性分类器、神经网络分类器等-Including Bayes classifier, a linear classifier, non-linear classifier, such as neural network classifiers
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
NB
- ：朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关 系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类 性能的方法。为进一步的研究打下坚实的基础。-: Naive Bayesian classifier is a simple and efficient classifier, but its attribute independence assumption that the rea