Search - Bayes_classifier

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[Other resource] bayes_classifier DL : 0: 用MATLAB编写的模式识别中的贝叶斯分类器
Update : 2008-10-13 Size : 1.59kb Publisher : zw
[AI-NN-PR] bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 林晨
[matlab] bayes_classifier DL : 0: 用MATLAB编写的模式识别中的贝叶斯分类器-Prepared using MATLAB Pattern Recognition Bayesian Classifier
Update : 2025-02-19 Size : 1kb Publisher : zw
[Graph Recognize] Bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 路单
[matlab] 119128664bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 2kb Publisher : huang fang
[Graph program] bayes_classifier DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : xingtao
[matlab] PR_toolbox DL : 0: 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
Update : 2025-02-19 Size : 14.74mb Publisher : Baoqing Yang
[matlab] bayes_classifier DL : 0: bayesian classifier for 2 cla-bayesian classifier for 2 class
Update : 2025-02-19 Size : 1kb Publisher : sami
[matlab] bayes_classifier_guassin- DL : 0: 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
Update : 2025-02-19 Size : 2kb Publisher : 飞兔
[Mathimatics-Numerical algorithms] classify_toolbox DL : 0: 各种分类算法，包括KNN，PNN，bayes_classifier等等。-various classifier
Update : 2025-02-19 Size : 14.75mb Publisher : tlj
[matlab] bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : zxk
[Special Effects] bayes_classifier DL : 0: 将envi文件转成matlab可读的数据-To envi documents into matlab readable data
Update : 2025-02-19 Size : 1kb Publisher : 郭连坤
[Algorithm] bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : 吕布
[Other] bayes_classifier DL : 0: 贝叶斯分类器-Bayesian classifier ..........
Update : 2025-02-19 Size : 1kb Publisher : 00
[matlab] Bayes_Classifier DL : 0: 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.
Update : 2025-02-19 Size : 2kb Publisher : jyju
[Other] bayes_classifier DL : 0: 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
Update : 2025-02-19 Size : 1kb Publisher : wanggang
[Other] bayes_classifier DL : 0: 贝叶斯分类的线性分类器Bias classification of linear classifier-Bias classification of linear classifier
Update : 2025-02-19 Size : 1kb Publisher : 他里雾
[matlab] Bayes_classifier DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : Jam_Jack
[Finance-Stock software system] bayes_classifier.m DL : 0: Byes classifier that can efficiently seperate one or more disticnt data sets.
Update : 2025-02-19 Size : 5kb Publisher : sandlanieee
[Other] bayes_multiclass DL : 0: 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.
Update : 2025-02-19 Size : 1kb Publisher : mnzars

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