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data
- 贝叶斯网络的学习样本，有收集来的，有自己产生的。主要有asia，cheng，heart等，有用的可以参考-Bayesian network learning samples collected themselves produce. Mainly asia, cheng, heart and other useful reference
LFM_gui
- 对它们进行性能测试和比较，并在非线性环境下，讨论这些方法的特点，仿真实验结果表明，在非线性非高斯环境下，UPF 方 法的性能是最优的。 -bayesian filtering methods, such as EKF, UKF, PF and UPF, etc., based on these methods structure The building of the framework, of their performance test and comparison, and the
aloha
- matlab仿真环境下，对时隙aloha系统进行的仿真，包含伪贝叶斯估计等-Matlab simulation environment, simulation slot aloha system contains pseudo-Bayesian estimation
barsP_matlab
- 贝叶斯自适应回归样条分析（BARS） 本例用于 数据平滑处理-Bayesian Adaptive Regression Splines (BARS) Data smooth
BRMM
- 基于贝叶斯混合模型的特征提起模型，可用于图像数据聚类，特征识别。-Constructs a Bayesian robust mixture model with a given number of mixture components and observable features.
demorbpfdbn
- Rao Blackwellised 粒子滤波在动态贝叶斯网络中的应用-Rao Blackwellised Particle Filtering for Dynamic Bayesian Networks
rjMCMCsa
- 可逆跳跃马尔科夫蒙特卡洛贝叶斯模型选择，主要用于神经网络-Reversible Jump MCMC Bayesian Model Selection This demo demonstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats t
pusu_nb
- 实现普通离散型数据的贝叶斯分类，不带权重。-The general discrete data Bayesian classifier, without the weight.
BayesDiscriminate
- 多元统计分析中的贝叶斯判别，用于主体服从正态分布，且有训练样本时的贝叶斯判别，输出是一个行向量，表示测试样本中每个点所属的类别-Bayesian discrimination Bayesian discriminant multivariate statistical analysis , for the body to follow a normal distribution , and training samples , the output is a row vector indicat
RVM2
- 基于稀疏贝叶斯框架的机器学习算法，能有效用于回归和分类预测，具有较强的泛化性-Machine learning algorithm based on sparse Bayesian framework, can effectively be used for regression and classification forecast has good generalization
Bayes
- This a fast bayesian classifier.-This is a fast bayesian classifier.
Bayliss2
- 求解贝叶斯权值，在自适应数字单脉冲中具有重要意义，特别是在求差波束时-Solving Bayesian weight value, the adaptive digital single pulse of great significance, in particular in seeking the difference beam
qq
- 贝叶斯最小错误率分类器设计 -Bayesian minimum error rate classifier design Bayesian minimum error rate classifier design
HMM0
- 基于贝叶斯工具箱BNT的隐马尔科夫简单模型，比较适合新手的学习-More suitable for novice learning a simple model based on the the Bayesian toolbox BNT hidden Markov
bayes
- 简单贝叶斯分类器，分别采用欧式距离和马氏距离实现三类分类-Simple Bayesian classifier
vb
- Bayesian Approach to Network Modularity 的算法源码 仅供研究参考-Bayesian Approach to Network Modularity algorithm source code for research purposes only reference
vbmod_matlab-0.9.4
- Bayesian Approach to Network Modularity 的算法源码 仅供研究参考-Bayesian Approach to Network Modularity algorithm source code for research purposes only reference
lungbayesdemo
- Title: "Modeling Lung Cancer Diagnosis Using Bayesian Network Inference" This demo illustrates a simple Bayesian Network example for exact probabilistic inference using Pearl s message-passing algorithm. Introduction: Bayesian networks
BN_num
- number of Bayesian networks
Bayes-Iris
- bayes分类算法，适合数据挖掘初学者学习-Bayesian classification algorithm for data mining beginners to learn