搜索资源列表
9cb364be040f6248013a44a3d343b582
- 贝叶斯网络的学习 。贝叶斯网络的学习分为:结构学习和参数学习。(Bias network learning. Bias network learning is divided into: structure learning and parameter learning)
NBC(1)
- 利用朴素贝叶斯对UCI 的 mushroom 数据集进行分类,使用MATLAB编码(Using naive Bias, the mushroom data sets of UCI are classified and encoded using MATLAB)
Bayesian Efficient Multiple Kernel Learning
- 基于贝叶斯核学习的文档,在分类以及判断类别方面有帮助(Based on Bayesian Nuclear Learning)
NBC
- 朴素贝叶斯模型,用来做大数据的分类,是一种很简单易上手的模型,代码很简单,有例子。(Naive Bayes model is used to enlarge the classification of data)
SharpClassifier_Adult-master
- 利用朴素贝叶斯分类方法将UCI的adult数据集进行分类(The adult dataset of UCI was classified by the naive bayesian classification method)
nativebayes
- 这是我参照统计学习书(李航著)中贝叶斯算法伪代码实现的MATLAB仿真代码,代码全是自己写的,完全按照书中书写,代码包含完整运行实例,可以直接运行,代码还包含一定的步骤说明,新手可以参考说明读懂代码。(This is my reference book of statistical learning (Li Hang) MATLAB simulation code Bayesian algorithm pseudo code implementation, the code is written
bayesClassifier
- 基于贝叶斯网络推理相关算法,处理灰度图像(Bias reasoning algorithm)
myBayes
- 这个是本人自己写的朴素贝叶斯算法,参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
贝叶斯决策实现线性样本分类
- MATLAB语言编程,用贝叶斯决策算法实现线性样本分类,输入待分类样本,输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
matlab_infer_bayes
- matlab实现贝叶斯网络推理的一些信息,包括FullBNT包(Matlab implements some information about Bayesian network inference, including FullBNT packages)
FullBNT-1.0.4
- 新的matlab贝叶斯神经网络工具箱,可以下载和安装。(New Bayes neural network toolbox of MATLAB)
bayes
- 基于java,利用贝叶斯算法实现中文文本分类。(包含可调用的trainingset)(Text classification based on Java using Bayesian algorithm.)
joint_bayesian
- 利用联合贝叶斯识别人脸,准确率高达90以上(Recognition of face using joint Bayes)
pr
- 模式识别,贝叶斯分类、计算错误率,较好的分出两类样本集,画roc曲线(Two categories of Bias classification and computational error rate)
Bayes
- 最简单的朴素贝叶斯程序,其中的数据上花种的分类情况。(Naive Bayesian program is the most simple, the classification of the data on the flowers.)
NavieBayes github java
- java 朴素贝叶斯 机器学习 情感分类器(java naivebayes machinelearing)
dream
- 贝叶斯MCMC,Dream算法,可以用来计算不确定性。(This fortran program is a Dream method)
(2)判别模型、生成模型与朴素贝叶斯方法
- Beyes
模式识别
- 简单的贝叶斯分类器,实现基于身高体重的男女性别分类(Simple Bias classifier)
smoke
- 对肺病因果关系搭建贝叶斯网络,实现肺病诊断过程。实例模型,matlab程序。(Build a Bayesian network for the causal relationship of lung disease to achieve the diagnosis process of lung disease. Instance model, matlab program.)