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BNT_SLP.tar
- 动态贝叶斯网络结构学习算法，用来检验基于BOA的DBN结构寻优体系的合理性与可行性。环境matlab 6.1以上-Dynamic Bayesian network structure learning algorithm, the DBN used to test the structure-based optimization BOA system is reasonable and feasible. Environmental matlab 6.1 or above
bblocks-1.1.1
- The library is a C++/Python implementation of the variational building block framework introduced in our papers. The framework allows easy learning of a wide variety of models using variational Bayesian learning
SEM
- structure EM算法 bayesian network structure learning-structure EM algorithm for bayesian network structure learning
119128664bayes_classifier
- 贝叶斯分类器源代码．能很好的实现分类．是很好的学习资料．期望与大家一起分享．-Bayesian classifier source code. Can achieve very good classification. Is a very good learning materials. Look forward to working with you to share
Bayesianmethods
- 本压缩文件详细介绍了Robert Piche博士关于贝叶斯算法的理论和他的笔记，其中文档中还包含源码程序，另附两个m文件源程序，是一个非常实用的学习及参考资料-In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for stand
gmm
- Bayesian mixture of Gaussians. This set of files contains functions for performing inference and learning on a Bayesian Gaussian mixture model. Learning is carried out via the variational expectation maximization algorithm.
nouv1
- In this course we present the basic principles of Bayesian statistics (an alternative to "orthodox" statistics). We start by learning how to estimate parameters for standard models (normal, binomial, Poisson) and then get acquainted with computationa
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
dpcodev1
- 基于贝叶斯学习的算法，对一系列信号进行聚类分析-Bayesian learning algorithm based on cluster analysis of a series of signals
vbssm_v3.0
- Propagation Algorithms for Variational Bayesian Learning.
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
Bayesian-learning-
- 一个贝叶斯学习的matlab例程，可以直接运行，具体内容参考图书《视觉机器学习20讲》-A Bayesian learning matlab routines, you can run directly
ACO-master
- 从数据学习贝叶斯网络结构的蚁群优化实现 matlab平台下(Ant Colony Optimisation implementation for learning Bayesian Network structures from data)
RVM
- 新的回归向量机，用于回归拟合，相关论文可以参考sparse bayesian learning and relevance vector machine(New Regression Vector Machine for Regression Fitting)
0
- 贝叶斯学习MATLAB算法分享，适合初学者(Bayesian learning method andexamples)
SB2_Initialisation
- 基于稀疏贝叶斯学习算法预测理论，利用稀疏贝叶斯的进行概率预测(Sparse bayesian learning)
Bayesian learning
- 贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法(Bayes classification algorithm is a classification method of statistics, which is a classification algorithm using probability statistics)
BSBL_public
- 这是一篇论文中实验部分的源代码，希望对学习压缩感知的同学有帮助(The experimental part of the source code,Article title is Compressed Sensing for Energy-Efficient Wireless Telemonitoring of Noninvasive Fetal ECG Via Block Sparse Bayesian Learning.)
STSBL-FM-master
- Spatiotemporal Sparse Bayesian Learning with Applications to Compressed Sensing of Multichannel Physiological Signals,
BCS_demo
- Sparse Bayesian Learning