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贝叶斯分类器
- 贝叶斯一维分类器，用matlab编写，正态分布下男女生判别，最小错误率的贝叶斯分类
基于贝叶斯网络的源程序
- 基于贝叶斯网络的源程序，可用于对数据的分类工作，效果较好,Based on Bayesian network source, the data can be used for the classification of work, better
Bayesguji.rar
- 贝叶斯估计方法的matlab程序,这是一个简单的例子,但很有用,Bayesian estimation methods matlab program, this is a simple example, but very useful
BayesDiscriminate.rar
- Matlab的贝叶斯判别算法（逐步判别）,Matlab' s Bayes discriminant algorithm (stepwise discriminant)
Matlab贝叶斯分类器+(Bayers)程序
- 用matlab实现贝叶斯分类器，模式识别的一个程序。 matlab的英文教程
naivebayes
- 已调试好的基于贝叶斯判别的手写体数字识别的matlab实现，包括样本图片的预处理、创建朴素贝叶斯分类器对象和检验判别效果的程序源代码大全-failed to translate
bayesthresholding
- 这个代码是基于贝叶斯的阈值分割,很有用的-This code is based on the Bayesian threshold segmentation, very useful
Bayesian-machine-learn-data-mining
- 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
subattribspace
- 一个朴素贝叶斯的matlab实现算法一个朴素贝叶斯的matlab实现算法-A Naive Bayes algorithm for matlab in a Naive Bayes algorithm matlab
Matlab-Bayers
- 简单贝叶斯计算源程序，可以使用调试，用于简单的matlab和贝叶斯的学习实验内容-Simple Bayesian computing source, you can use the debugging, for the simple Bayesian learning matlab and experimental content
matlab 贝叶斯和通用阈值软阈值图像去噪方法
- matlab 贝叶斯和通用阈值软阈值图像去噪方法MATLAB程序，希望对大家有帮助，仅供大家参考，希望有用(Matlab Bias and general threshold soft threshold image denoising method MATLAB program, we want to help, for your reference, I hope useful)
贝叶斯
- 模式识别，贝叶斯判定，matlab程序，判别身高体重(Pattern recognition, Bayes decision, and matlab program are used to judge height and weight)
04 贝叶斯定理
- 基于matlab的贝叶斯定理在结构上的应用，以一个多自由度体系为例。(The application of Bias's theorem based on MATLAB in structure, taking a multi degree of freedom system as an example.)
贝叶斯分类器
- 该程序能够实现对两种样本进行贝叶斯分类，并且能够通过旋转观察两类的三维图，还能够画出超平面，更加直观的观察两类的分类。(The program can realize the Bayesian classification of two kinds of samples, and can be observed by rotating the 3D figure two class, also can draw a plane, the classification of the two cla
人工智能：人工智能选股之朴素贝叶斯模型
- 本报告对 朴素贝叶斯模型及线性判别分析、二次判别分析 进行系统测试 “生成模型”是机器学习中监督学习方法的一类。与“判别模型”学习决 策函数和条件概率不同，生成模型主要学习的是联合概率分布??(??,??)。本 文中，我们从朴素贝叶斯算法入手，分析比较了几种常见的生成模型（包 括线性判别分析和二次判别分析）应用于多因子选股的异同，希望对本领 域的投资者产生有实用意义的参考价值。(This report gives a systematic test of naive Bayesian
贝叶斯网络工具包
- 贝叶斯网络工具包安装教程 贝叶斯网络参数过程中最大似然估计的详细过程(BAYESIAN NETWORK (Bayesian network parameters maximum likelihood estimation process detailed process))
matlab贝叶斯分类(1)-简单样本集
- 利用matlab实现贝叶斯分类，采取“留一法”选取训练集和测试集，最后返回准确率为0.8571。(Bias classification is realized by MATLAB, and training set and test set are selected by "leaving one method", and the accuracy of return is 0.8571.)
matlab贝叶斯分类(2)-10折10次交叉验证
- 利用matlab实现贝叶斯分类，采用10折10次交叉验证法选取训练集和测试集，进行循环测试，最后返回准确率为0.9184.另外，文件内含数据源。(The Bias classification is realized by MATLAB, and the training set and test set are selected by 90% off 10 times cross validation method, and the cycle test is carried out. Fin
基于贝叶斯最小错误率手写数字识别
- 基于贝叶斯手写数字识别，基于MATLAB+GUB平台，手写0-9数字进行识别分类(Handwritten Number Recognition Based on Bayesian)
贝叶斯判决
- 假定某个局部区域细胞识别中正常w1和非正常w2 两类先验概率分别为： 正常状态：P(w1)=0.9 ； 异常状态：P（w2）=0.1 。 现有一系列待观察的细胞，其观察值为： -2.67 -3.55 -1.24 -0.98 -0.79 -2.85 -2.76 -3.73 -3.54 -2.27 -3.45 -3.08 -1.58 -1.49 -0.74 -0.42 -1.12 4.25 -3.99 2.88 -0.98 0.79 1.19 3.07 两类的类条件概率符合正态分布