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Description: This a Bayesian ICA algorithm for the linear instantaneous mixing model with additive Gaussian noise [1]. The inference problem is solved by ML-II, i.e. the sources are found by integration over the source posterior and the noise covariance and mixing matrix are found by maximization of the marginal likelihood [1]. The sufficient statistics are estimated by either variational mean field theory with the linear response correction or by adaptive TAP mean field theory [2,3]. The mean field equations are solved by a belief propagation method [4] or sequential iteration. The computational complexity is N M^3, where N is the number of time samples and M the number of sources.
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Size: 7168 |
Author: 陈互 |
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Description: 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, support vector machines
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Size: 2599936 |
Author: 郭攀红 |
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Description: matlab编写，贝叶斯估计程序，简单易懂。-Matlab prepared, Bayesian estimation procedures, simple and understandable.
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Size: 1024 |
Author: 魏雪云 |
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Description: 关于Bayes分类器的 实验数据都有 大家相互共享 很好用的软件-Bayesian classifier on the experimental data we have very good mutual sharing of software
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Size: 270336 |
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Description: 贝叶斯分类器，bayesian classifier,贝叶斯分类器，bayesian classifier-Bayesian classifier, bayesian classifier, Bayesian classifier, bayesian classifier
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Size: 1024 |
Author: weiwei |
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Description: 贝叶斯分类实验 模式识别课程实验所用的源程序-Bayesian classifier experimental pattern recognition programs used in the experimental program
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Size: 6144 |
Author: 王旺 |
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Description: On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar -xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
-On-Line MCMC Bayesian Model Selection
This demo demonstrates how to use the sequential Monte Carlo algorithm with reversible jump MCMC steps to perform model selection in neural networks. We treat both the model dimension (number of neurons) and model parameters as unknowns. The derivation and details are presented in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Sequential Bayesian Estimation and Model Selection Applied to Neural Networks . Technical report CUED/F-INFENG/TR 341, Cambridge University Department of Engineering, June 1999. After downloading the file, type "tar-xf version2.tar" to uncompress it. This creates the directory version2 containing the required m files. Go to this directory, load matlab5 and type "smcdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
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Size: 16384 |
Author: 徐剑 |
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Description: 贝叶斯matlab程序设计算法，给出了各种实验数据和实验方法。-Bayesian matlab programming algorithm, given a variety of experimental data and experimental methods.
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Size: 2020352 |
Author: 邵桂芳 |
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Description: 贝叶斯算法相关，贝叶斯算法是模式分类领域的鼻祖算法，优势明显缺陷亦明显-Bayesian algorithm related to Bayesian algorithm is the originator of the field of pattern classification algorithms, have obvious advantages are obvious defects
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Size: 1032192 |
Author: lulu |
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Description: implement paper A Bayesian Approach to Digital Matting
贝叶斯抠图 matlab code-implement paper A Bayesian Approach to Digital Matting Bayesian Cutout matlab code
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Size: 1019904 |
Author: changfeng |
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Description: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, "Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain-Now image denoising filter in all the most better denoising algorithm- Bayesian Least Squares- Gaussian Scale Mixture realize the matlab code, application-rich, with the commercial image processing software rival, and its principle can be found in J Portilla, V Strela, M Wainwright, EP Simoncelli,
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Size: 1370112 |
Author: pudndcy |
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Description: 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
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Size: 282624 |
Author: Leo |
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Description: 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
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Size: 439296 |
Author: roz yang |
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Description: Variational Bayesian Multinomial Probit Regression with
Gaussian Process Priors. -Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
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Size: 8192 |
Author: 曹大群 |
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Description: bayesian matlab Filter
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Size: 25600 |
Author: junsung |
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Description: 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
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Size: 1425408 |
Author: 李琛 |
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Description: Bayesian Analysis Exploiting Discretization-Bayesian Analysis Exploiting Discretization
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Size: 252928 |
Author: tom tom |
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Description: Bayesian Classifier - matlab procedures Bayesian Classifier - matlab-way Bayesian Classifier - matlab program
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Size: 1048576 |
Author: salih turab |
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Description: Bayesian Inference and Poisson Distribution
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Size: 4096 |
Author: soheil |
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Description: 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
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Size: 1024 |
Author: songjie |
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