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Machine_Learning_Tom_M.Michell
- 一些机器学习的文档.有贝叶斯,决策树,ga,ann,规则学习,增强学习等ppt介绍文档-some machine learning documents. A Bayesian, decision tree, ga, ann, rule learning, to enhance learning ppt documents introduced
visa
- 一个简单的数据挖掘程序，有贝叶斯方法和bp算法，还有决策数的简单实现。-a simple data mining procedures, it bp Bayesian methods and algorithms, the number of decision-making there are simple to achieve.
Bayesian-posterior-probability
- 实现贝叶斯概率计算过程。假设进行n次试生产，计算最后得到后验概率，即可信度。样本数据集个数和观测值从文件中读入，计算过程封装为动态链接库，以.dll形式提供， 主程序提供界面输入先验分布值、边缘分布值，显示计算结果。 -Bayesian probability calculation process. Assuming that the n-th trial production, and calculate the final posterior probability that cr
Naive-Bayesian-Data-Classification
- 数据挖掘基于朴素贝叶斯分类算法实现 该类是训练集的类-Data mining based Bayesian classification algorithm to achieve
bayesian
- 基于matlab开发的利用贝叶斯网络计算配电网可靠性-Distribution network reliability based on Bayesian network matlab development
Bayesian-Classify
- 基于贝叶斯网络的分类器实现，使用C++编写，不错，可以参考-Based on Bayesian network classifiers achieve C++ writing, yes, you can reference
Bayesian-CPP-code
- 最近在研究贝叶斯网络，上传一个C++的贝叶斯网络构建、学习和推理代码，可用，有样例图，大家一起学习-A recent study of Bayesian networks, upload a C++ of Bayesian network construction, learning and reasoning of code that can be used, the sample diagram, we will study together
Bayesian-in-CSharp
- 这个是用C#写的贝叶斯网络的实现，本人也在学习过程中，大家一起来研究-This is a Bayesian network implementation written in C#, I am also in the process of learning, we study together
Bayesian-algorithm
- 贝叶斯算法一种python实现方式，写法比较朴素，简单易懂-Bayesian algorithm python implementation, written relatively simple, easy to understand
Machine-Learning-Bayesian-gene-data-test-ROC
- Machine Learning Bayesian TEST GENE data and ROC Curve
Bayesian
- bayesian classifier used to classify data using existing training data set, for example we can find whether client is bank defaulter or not using existing data set
Joint-Bayesian-master
- 联合贝叶斯代码，主要用于做人脸识别的，使用python语言写的-Joint Bayesian code, mainly used to make face recognition using python language to write
Bayesian-criterion
- 基于贝叶斯准则的二元假设检验，对学习信号检测与估计很有帮助。-Based on Bayesian binary hypothesis testing, learning signal detection and estimation helpful.
4.6-Bayesian-Approach-to-Categorical-Distribution
- Bayesian distribution
bayesian-hill-climbin
- FORTRAN code for minimizing a function whose uation is expensive. At each iteration, a Bayesian posterior mean for the surface shape conditional on points already sampled is constructed and the minimum of this is found. This minimum is then used as
bayesian-matting-master
- 本文将以图像抠图领域的经典算法——贝叶斯抠图（Bayesian Matting）为例来介绍有关图像抠图技术的一些内容。贝叶斯抠图源自文献【2】，是2001年发表在CVPR上的一篇经典论文。(the image matting using classic bayesian approach)
Baysian
- A simple application of bayesian method in diffuse prior model.
Variational Inference for Bayesian
- Variational Inference for Bayesian
Bayesian-Matting-master
- 贝叶斯框架抠图,高斯分布，采样，最大似然率，三分图，前景区域，北京区域，未知区域(proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel of the foreground element. Our approac
Bayesian-Network-Structure-Learning-master
- 一般贝叶斯网络的构建是首先由相关领域的专家根据事物间的关系来确定出结构模型，即有向无环图，然后再利用其它方法确定每个节点的条件概率，但这样构建的网络模型无法保证其客观性和可靠性．(In general, the construction of Bayesian network is to determine the structural model, i.e. directed acyclic graph, by experts in related fields according to th