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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.
BayesianClassifier1
- 一个基于正态分布 的贝叶斯最小错误率的分类器
KNNalgorithm
- 一个聚类程序，基于贝叶斯最小错误率的判别，效果挺好的。
Bayes
- 使用Matlab实现，包括一维特征最小错误率bayes分类器；二维特征最小错误率bayes分类器；二维特征最小风险bayes分类器以及使用的数据集合。-Using the Matlab implementation, including the minimum error rate of one-dimensional characteristics of bayes classifier two-dimensional characteristics of the minimum error
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
Bayes
- 使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequ
judger
- 最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
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
naivebayes
- 贝叶斯决策器，基于最小错误率的贝叶斯决算法-Bayesian decision-making, based on minimum error rate of Bayesian decision-making
bayes
- 采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本，考察训练/测试错误情况。-The use of height and weight data as the characteristics of the assumption that the two were related or not related to the normal distribution probabilit
Bayes-Matlab
- 基于最小错误率，和最小风险的Bayes分类器Matlab 实现 -Bayes Matlab
beiyesi
- 使用最小错误率贝叶斯分类器对学生成绩进行分类-Minimum error rate using Bayesian classifier to categorize student achievement
classifier
- 两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window meth
Bayes
- 贝叶斯分类器，基于最小错误率的贝叶斯分类器-Bayes
beiyesi
- 1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 -1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
PR
- 采用身高和体重数据作为特征，分别假设二者相关或不相关，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则，将该分类器应用到训练/测试样本-Bayes classifier is the most classic! Minimize the classification error. With the matlab language, with examples
PR1
- 采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.-Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-mak
bayes
- 用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序.-Using matlab based on the Bayes minimum error rate classifier simulation, the preparation of the corresponding program.
最小错误率贝叶斯决策
- 基于最小错误率的贝叶斯决策 （1）要决策分类的类别数是一定的；（2）每一类出现的“先验概率”已知；（3）每一类的“类条件概率密度”已知；(Bayesian Decision Based on Minimum Error Rate(1) the "prior probabilities" of each class are known; (2) the "conditional probability density" of each class is kn
Sciprts
- 用 dataset3 作为训练数据，用 dataset4 作为测试数据，采用不同的特征、训练样本数、分类方法进行比较实验，观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器（假设正态分布，先验概率各 50%）。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an