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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
PCA_LDA.rar
- 《机器学习》课上的作业,PCA和LDA降维,尽管网上很多,但很少注释,另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器,大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数,不是百分比!," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
Matlab贝叶斯分类器+(Bayers)程序
- Matlab贝叶斯分类器+(Bayers)程序.rar
BayesianClasser
- 贝叶斯分类器matlab版,可以用于图像分类,检索,模式识别相关工作-bayes classifier is useful to image classify
beyesian
- 用MATLAB实现的贝叶斯网络算法,有一定的参考价值-this algorithm by matlab is useful and valuable.
BNT_SLP
- matlab贝叶斯网络工具箱BNT_SLP.zip,解压后将整个文件夹放入matlab安装目录的toolbox文件夹下-BNT_SLP.zip Bayesian network toolbox for matlab
bayesleastrisk
- matlab贝叶斯分类器,基于matlab的仿真-Bayesian classifier matlab, matlab-based simulation
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
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
NB
- 朴素贝叶斯算法,以函数形式实现,花了一个上午的时间-Naive Bayes algorithm, in order to function the form of implementation, a morning flower time
classify_NN
- 贝叶斯分类,已经调试成功,大家共享一下。-Bayesian classifier, has been testing the success of everyone to share about.
code
- 本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
Bayes_fu
- 用MATLAB实现模式识别中的贝叶斯分类-Using MATLAB to achieve recognition in the Bayesian classifier
Bys
- 贝叶斯网络的算法,它具有结构学习,参数学习,和推理的功能。-failed to translate
zuoye
- 利用matlab软件对模式识别进行了很好的仿真,利用贝叶斯分类器对男女生进行了很好的分类。-Pattern recognition using matlab software had a very good simulation, the use of Bayesian Classifiers for boys and girls had a very good classification.
K2
- 贝叶斯网络学习算法——k2算法,包括对贝叶斯网络结构的学习,最后生成网络-Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network
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
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