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[Other resourcebayes_classifier

Description: 用MATLAB编写的模式识别中的贝叶斯分类器
Platform: | Size: 1628 | Author: zw | Hits:

[AI-NN-PRbayes_classifier

Description: 贝叶斯分类器,模式识别,贝叶斯规则用于C个类,高斯函数建模-Bayesian classifier, pattern recognition, Bayesian rules for C-class, the Gaussian function modeling
Platform: | Size: 1024 | Author: 林晨 | Hits:

[matlabbayes_classifier

Description: 用MATLAB编写的模式识别中的贝叶斯分类器-Prepared using MATLAB Pattern Recognition Bayesian Classifier
Platform: | Size: 1024 | Author: zw | Hits:

[Graph RecognizeBayes_classifier

Description: 贝叶斯分类器的设计实验,内有解释利于入门学习-Bayesian classifier design experiments, which help to explain the study entry
Platform: | Size: 1024 | Author: 路单 | Hits:

[matlab119128664bayes_classifier

Description: 贝叶斯分类器源代码.能很好的实现分类.是很好的学习资料.期望与大家一起分享.-Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share
Platform: | Size: 2048 | Author: huang fang | Hits:

[Graph programbayes_classifier

Description: 贝叶斯分类器实现多类识别,主要用于两类的识别-BAYES_CLASSIFIER function calculates the discriminant functions for two classes.
Platform: | Size: 1024 | Author: xingtao | Hits:

[matlabPR_toolbox

Description: 希腊希尔维亚的模式识别的源码。可以用来学习模式识别。-Source code in Matlab for Pattern Recogintion from xi la
Platform: | Size: 15457280 | Author: Baoqing Yang | Hits:

[matlabbayes_classifier

Description: bayesian classifier for 2 cla-bayesian classifier for 2 class
Platform: | Size: 1024 | Author: sami | Hits:

[matlabbayes_classifier_guassin-

Description: 贝叶斯分类器,首先生成3000个高斯分布的点,1000个点做训练集,2000个点做测试集。先运行data_generator.m自动生成两个集盒,再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Automatically generated the first two sets running data_generator.m box, and then run bayes_classifier.m classification
Platform: | Size: 2048 | Author: 飞兔 | Hits:

[Mathimatics-Numerical algorithmsclassify_toolbox

Description: 各种分类算法,包括KNN,PNN,bayes_classifier等等。-various classifier
Platform: | Size: 15462400 | Author: tlj | Hits:

[matlabbayes_classifier

Description: 在matlab环境下的一个朴素贝叶斯分类器,大家可以参考下-Matlab environment a Naive Bayes classifier, we can refer to the following
Platform: | Size: 1024 | Author: zxk | Hits:

[Special Effectsbayes_classifier

Description: 将envi文件转成matlab可读的数据-To envi documents into matlab readable data
Platform: | Size: 1024 | Author: 郭连坤 | Hits:

[Algorithmbayes_classifier

Description: 普通的贝叶斯分类器,可用于图像分割等,内注释比较详细,适合初学者-bayes classifer
Platform: | Size: 1024 | Author: 吕布 | Hits:

[Otherbayes_classifier

Description: 贝叶斯分类器-Bayesian classifier ..........
Platform: | Size: 1024 | Author: 00 | Hits:

[matlabBayes_Classifier

Description: Bayes classifier Step 1. : Generate an arbitrary 3-class dataset with bi-variate Gaussian distribution. Step 2. : If three arbitrary samples are given as follows, determine to which class (as each class is generated by Step 1) each sample should belong.-Bayes classifier Step 1. : Generate an arbitrary 3-class dataset with bi-variate Gaussian distribution. Step 2. : If three arbitrary samples are given as follows, determine to which class (as each class is generated by Step 1) each sample should belong.
Platform: | Size: 2048 | Author: jyju | Hits:

[Otherbayes_classifier

Description: 模式识别 中的第一章节的贝叶斯分类器基本程序-pattern recognition bayes classfier
Platform: | Size: 1024 | Author: wanggang | Hits:

[Otherbayes_classifier

Description: 贝叶斯分类的线性分类器Bias classification of linear classifier-Bias classification of linear classifier
Platform: | Size: 1024 | Author: 他里雾 | Hits:

[matlabBayes_classifier

Description: 贝叶斯决策论是解决模式分类问题的一种基本统计途径。其出发点是利用概率的不同分类决策与相应的决策代价之间的定量折中。贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类。也就是说,贝叶斯分类器是最小错误率意义上的优化。-Bias classifier with minimum error rate.
Platform: | Size: 1024 | Author: Jam_Jack | Hits:

[Finance-Stock software systembayes_classifier.m

Description: Byes classifier that can efficiently seperate one or more disticnt data sets.
Platform: | Size: 5120 | Author: sandlanieee | Hits:

[Otherbayes_multiclass

Description: z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for each feature vector). • N: the number of data vectors. • m: lxM matrix, whose j-th column corresponds to the mean of the j-th class. • S: lxlxM matrix. S(:,:,j) is the covariance matrix of the j-th normal distribution. • P: M-dimensional vector whose j-th component is the a priori probability of the j-th class. • X: lxM data matrix, whose rows are the feature vectors, i.e., data matrix in scikit-learn convention. • y: N-dimensional vector containing the known class labels, i.e., the ground truth, or target vector in scikit-learn convention. • z: N-dimensional vector containing the predicted class labels, i.e., the vector of predicted class labels in scikit-learn convention.-z=bayes_classifier(m,S,P,X). This function outputs the Bayesian classification rule for M classes, each modeled by a Gaussian distribution. where, M: the number of classes. • l: the number of features (for each feature vector). • N: the number of data vectors. • m: lxM matrix, whose j-th column corresponds to the mean of the j-th class. • S: lxlxM matrix. S(:,:,j) is the covariance matrix of the j-th normal distribution. • P: M-dimensional vector whose j-th component is the a priori probability of the j-th class. • X: lxM data matrix, whose rows are the feature vectors, i.e., data matrix in scikit-learn convention. • y: N-dimensional vector containing the known class labels, i.e., the ground truth, or target vector in scikit-learn convention. • z: N-dimensional vector containing the predicted class labels, i.e., the vector of predicted class labels in scikit-learn convention.
Platform: | Size: 1024 | Author: mnzars | Hits:
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