搜索资源列表
jBNC
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. jBNC
bayes_classifier_guassin-
- 贝叶斯分类器，首先生成3000个高斯分布的点，1000个点做训练集，2000个点做测试集。先运行data_generator.m自动生成两个集盒，再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Aut
USING-BAYESIAN-METHOD
- 基于贝叶斯方法的蛋白质界面残基预测相关内容，帮助您了解蛋白质预测和贝叶斯网络-USING BAYESIAN METHOD TO PREDICT INTERFACE RESIDUES OF PROTEIN
BAYESIAN-HIGH-PRIORITY-REGION-GROWING-FOR-CHANGE-
- BAYESIAN HIGH PRIORITY REGION GROWING FOR CHANGE
Bayesian-Network-Classifiers-In-Weka
- Bayesian Network Classifiers In Weka
Comparison-of-Bayesian-and-fisher
- 训练错误率和交叉验证错误率相等，在样本比较大时，这个结果是可以预期的；训练错误率一般低于测试错误率，但是当样本数据比较少时，实验也出现了意外，样本多的那组测试错误率比样本少的训练错误率还要小；在本实验中，同组数据的交叉验证错误率比独立测试错误率高，这个反常现象是因为样本的原因所致，交叉验证的样本小，而独立测试时所用训练样本数目大，因而出现这种情况。分类线上，fisher准则是一条直线，而贝叶斯分类器实际上是一个类似椭圆的封闭曲线；很明显，贝叶斯分类器比fisher分类器要好。-Training
Bayesian-network
- 基于贝叶斯网络对关键字广告进行竞价排名预测-use Bayesian network to predict the rank and click through of adwords。
Bayesian-learning-theory
- 贝叶斯学习理论使用概率去表示所有形式的不确定性，学习和推理都通过概率规则来实现。-Bayesian learning theory using the probability that all forms of uncertainty, learning and reasoning by probability rules . Bayesian learning , the results of the probability distribution of random variables ,
Bayesian-Object-Detection
- Bayesian Object Detection in Dynamic Scenes
the-bayesian-algorithm
- 基于水质模型的预测的贝叶斯算法，主要包含数据处理和预测学习算法程序-Based on the water quality model prediction of the bayesian algorithm, consists of data processing and predict learning algorithm procedures
Bayesian-Compressive-Sensing
- Bayesian Compressive Sensing
Bayesian-decision
- 贝叶斯决策的例程，由男女学生的身高体重来决策未知数据是男生类还是女生类-Bayesian decision-making routines, unknown data to decision-making by the height and weight of the male and female students boys classes, or girls
Bayesian
- The Bayesian classifier is a fundamental classification technique.
Bayesian
- 数据挖掘中的预测的贝叶斯算法，采用二维数组实现-Bayesian algorithm for prediction in data mining using two-dimensional array implementation
Bayesian-tools
- 贝叶斯网络的工具包和工具包的使用说明PDF，可实现贝叶斯网络的推理-bayesian net
Bayesian
- 关于贝叶斯网络分类的相关PDF资料，和机器学习的书籍-Bayesian net classification
Pilot-aided-Bayesian
- 基于导频的贝叶斯信道估计，可以大大减少MMSE信道估计的计算复杂度-Bayesian channel estimation based on the pilot, can greatly reduce the computational complexity of the MMSE channel estimation
MCMC-Bayesian-(2)
- 一篇硕士学位论文，对贝叶斯中的mcmc方法论述得比较清楚-A master' s degree thesis, discusses the mcmc the Bayesian method was clearly
Bayesian-Compressive-Sensing
- 基于贝叶斯压缩感知理论的相关介绍，压缩感知理论是近几年非常热门的研究内容-Introduction of compressed sensing theory based on Bayesian compressed sensing theory is very popular in recent years, the research content
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