搜索资源列表
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.)
0
- 贝叶斯学习MATLAB算法分享,适合初学者(Bayesian learning method andexamples)
手写体数字识别
- 可以识别手写体数字,识别率在百分之90以上。贝叶斯决策论(Handwritten numerals can be recognized)
work
- 1) 以身高为例,画出男女生身高的直方图并做对比; 2) 采用最大似然估计方法,求男女生身高以及体重分布的参数; 3) 采用贝叶斯估计方法,求男女生身高以及体重分布的参数(假定方差已知,作业请注明自己选定的一些参数情况); 4) 采用最小错误率贝叶斯决策,画出类别判定的决策面。并判断某样本的身高体重分别为(160,45)时应该属于男生还是女生?为(178,70)时呢?(1) taking height as an example, draw the histogram of male and f
bayes
- weka中的贝叶斯分类算法,朴素贝叶斯,贝叶斯神经网络,文本分类(Bias classification algorithm in Weka, simple Bias, Bias neural network, text classification)
naive_bayes
- 朴素贝叶斯算法分类及回归,附带训练集和测试集,可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
bayes
- 使用朴素贝叶斯对垃圾邮件进行分类,附带数据(For spam classification using Naive Bayesian, supplementary data)
Spam-Detection-master
- 贝叶斯垃圾邮件分类器,使用Python编写,使用SMSSpamCollection数据集(Bias spam classifier)
Bayes方法基础
- 贝叶斯是无敌的,贝叶斯是万能的,贝叶斯是全知全能的(bayes is powerful ,bayes is wonderful)
模式识别与机器学习3贝叶斯决策理论
- 讲述模式识别与机器学习,贝叶斯决策理论的相关知识,(Bayesian decision theory in narrative pattern recognition)
朴素贝叶斯
- 借助朴素贝叶斯算法,针对文本正负面进行判别,并且利用C#进行编程实现(The naive Bayes algorithm is used to judge the positive and negative sides of the text, and the program is implemented by using C#)
bayes
- 贝叶斯估计的几个简单实例,对新接触现代信号处理课程的同学有帮助(Bias estimates a few simple examples of new contact with the modern signal processing course students help)