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贝叶斯网络的因果推理关系
- 人工智能实验§贝叶斯网络的因果推理关系§ 熟悉掌握Bayes定理，学习贝叶斯网络的因果推理-artificial intelligence experiments Bayesian network causal reasoning relations mastery Bayes Theorem, learning Bayesian network causal reasoning
基于贝叶斯网络的半监督聚类集成模型
- 已有的聚类集算法基本上都是非监督聚类集成算法,这样不能利用已知信息,使得聚类集成的准确性、鲁棒性和稳定性降低.把半监督学习和聚类集成结合起来,设计半监督聚类集成模型来克服这些缺点.主要工作包括:第一,设计了基于贝叶斯网络的半监督聚类集成(semi-supervised cluster ensemble,简称SCE)模型,并对模型用变分法进行了推理求解;第二,在此基础上,给出了EM(expectation maximization)框架下的具体算法;第三,从UCI(University of Ca
Bayes_classifier
- 贝叶斯分类器的设计实验，内有解释利于入门学习-Bayesian classifier design experiments, which help to explain the study entry
基于朴素贝叶斯方法的文本分类
- 本程序实现了基于朴素贝叶斯方法的文本分类，附有源代码、实验报告、可执行程序以及语料库（包括训练集和测试集） -This procedure implements the text-based Naive Bayes classification method, with source code, test reports, executables and corpus (including the training set and test set)
Navie-Bayes
- 机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验-Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments
winedata-bayers
- 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah
beiyesi
- 一个简单的贝叶斯分类器，有实验步骤和实验数据。-A simple Bayesian classifier, there are experimental steps and the experimental data.
Bayes
- 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
Bayes_classifier_useful
- 关于贝叶斯分类器设计的实验，适合入门，上一个传错了，抱歉-Bayesian classifier on the experimental design is suitable for entry, a mass is wrong, sorry
105359_1148
- 为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
bys
- 运筹学的贝叶斯预测，是上机进行运筹学实验的重要实验。-Bayesian forecasting of operations research is on the machine is important experimental operations research experiments.
beiyesi
- 1 通过实验，掌握多元正态分布的最大似然估计； 2 掌握多元正态分布下的最小错误率的贝叶斯分类； 3 对其他的参数估计有更深的认识。 -1 experiment, master multivariate normal distribution maximum likelihood estimation 2 multivariate normal distribution under the minimum control error rate Bayesian classifier
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
lc_bayes_KL
- 分享一下贝叶斯，线性分类，K_L变换实验代码，有需要的下！！希望找到志同道合的朋友共同研究-Share Bayes, linear classification, K_L transformation test code, there is a need for the next! ! Hope to find like-minded friends to study
Bayes_Classifier_Iris
- 用朴素贝叶斯方法实现了Iris数据的分类，还附了实验报告-Bayesian methods implemented with the Iris data classification, but also with the experimental report
IrisBayes
- iris数据集的贝叶斯分类实验，外带实验报告一分-Bayesian classification of iris data set experiment, experimental report of a sub-outer
20170608贝叶斯分类器实验
- 贝叶斯分类器，通过事先sample样本的训练，能够快速准确的实现对待分类样本的识别分类(Bias classifier, through the training of sample samples in advance, can quickly and accurately realize the classification and classification of the classified samples)
朴素贝叶斯
- 朴素贝叶斯算法运行和程序代码的实验与结果(Operation of naive Bayes algorithm)
朴素贝叶斯算法资料
- 朴素贝叶斯算法的相关资料，包含算法以及实验结果等。(The related data of the naive Bayes algorithm.)