搜索资源列表
IEEEtransactions_on-pattern-analysis
- 基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
mi
- 通用机器学习及数据挖掘的特征提取及贝叶斯网络程序-通用机器学习及数据挖掘的特征提取及贝叶斯网络程序.-Common machine learning and data mining feature extraction and Bayesian network program- common machine learning and data mining of feature extraction and Bayesian network program.
S.Liang
- 用于实现隐马尔科夫算法的相关程序,来自美国大学网站。还可用于求解动态贝叶斯相关问题。-Hidden Markov algorithm used to implement the relevant procedures, from the American University website. Can also be used to solve dynamic Bayesian-related issues.
FullBNT-1.0.4
- matlab中的贝叶斯网络工具箱,版本为1.0.4。-Bayesian network toolbox in matlab, version 1.0.4.
CSBP_matlab
- Believe Propagation application的经典算法,用来重构压缩感知。-Bayesian Compressed sensing
BCSvb
- 贝叶斯算法的实现-Bayesian algorithm. . . . . . . . . . . . . .
classer
- 这是一个贝叶斯分类器,用于人工智能的科研学习和工作,有例子可以参考-Bayesian classifier, artificial intelligence for research study and work, there are examples you can refer to
Bayesian_Model_Comparison
- In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.Bayesian model comparison is a method of model selection based on Bayes factors.
Occupancy-Grid-Map
- Occupancy Grid Mapping: using bayesian rules to update the grid probability of occupancy for only static coordinate (the probability describe the cell is occupied or not or unknown)
Tri-traing-by-myself
- 一个自己编写的Tri-training算法,利用支持向量机,K近邻,和朴素贝叶斯进行协同训练-A imagecut.rar Tri-training algorithm, using support vector machine, K neighbor, and simple bayesian for collaborative training
Aloha
- 用matlab实现时隙Aloha的伪贝叶斯算法的仿真-Using matlab to achieve pseudo-Bayesian Aloha slot simulation algorithm
Pattern-recognition
- 《模式识别》,是本人用matlab语言编程来实现贝叶斯分类器的设计-" Pattern recognition" is a programming language I use matlab to implement Bayesian classifier design
xitongbianshi
- 贝叶斯估计,最小二乘法,递推最小二乘法,梯度校正法,增广最小二乘法进行系统辨识-Bayesian estimation, least squares, recursive least squares method, the gradient correction method, the augmented least squares method for system identification
Minimum-Bayes-classifier-error-rate
- 这是模式识别中最小错误率Bayes分类器设计方案。 自行完善了在不同先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从而得到概率密度
Minimum-Risk-Bayes-classifier
- 这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。 全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。 调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从
gender-classification-experiments
- 这是用身高体重数据进行性别分类的实验。 用最小错误率贝叶斯分类器决策时,首先通过比较概率大小判断一个体重身高二维向量代表的人是男是女,然后再逐一与已知性别的数据比较,就可以得到错误率的统计。然后改变先验概率,重复上面的过程,观察数据结果的变化。 用最小风险贝叶斯分类器决策时,首先求出用最小错误率贝叶斯分类器得到的条件概率;然后根据人为给定的决策表,根据公式算出条件风险;然后逐一比较条件风险,找出使条件风险最小的决策(也就是分类)。最后用分类得到的结果逐一比较已经知道的原始数据,统计处错误
BC_Tools
- matlab专用的贝叶斯网络工具包,内附安装教程-Bayesian network algorithm tools for matlab
3
- 本程序用pca,kpca,svm,pls,fisher,贝叶斯实现cstr和csth过程的故障检诊断,诊断率为百分之九十九,故障识别率为百分之七十六-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
4
- 本程序用pca,kpca,svm,pls,fisher,贝叶斯实现cstr和csth过程的故障检诊断,诊断率为百分之九十九,故障识别率为百分之七十五-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i
5
- 本程序用pca,kpca,svm,pls,fisher,贝叶斯实现cstr和csth过程的故障检诊断,诊断率为百分之九十九,故障识别率为百分之七十四-The program use pca, kpca, SVM, PLS, fisher, bayesian realize CSTR and CSTH process for diagnosis fault diagnosis rate is ninety-nine percent, and the fault recognition rate i