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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.
Update : 2008-10-13 Size : 7.48kb Publisher : 陈互

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.
Update : 2025-02-17 Size : 7kb Publisher : 陈互

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基于变分贝叶斯方法的状态空间模型学习程序-Based on the Variational Bayesian methods of state space model the learning process
Update : 2025-02-17 Size : 17kb Publisher : 程正

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
Update : 2025-02-17 Size : 429kb Publisher : roz yang

Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors. -Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors.
Update : 2025-02-17 Size : 8kb Publisher : 曹大群

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一个基础贝叶斯变换的压缩感知,包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
Update : 2025-02-17 Size : 90kb Publisher : chen

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HMM模型的变分贝叶斯方法Matlab程序。-The Matlab program of variational Bayesian for HMM model
Update : 2025-02-17 Size : 6kb Publisher : 刘冬

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变分贝叶斯最小二乘法的matlab程序。-Variational Bayesian least-squares method matlab program
Update : 2025-02-17 Size : 51kb Publisher : 刘冬

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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.
Update : 2025-02-17 Size : 6kb Publisher : ruso

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用Matlab写的高斯混合模型的贝叶斯EM估计,-Variational Bayesian EM for Gaussian mixture models
Update : 2025-02-17 Size : 22kb Publisher : cheng

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variational bayesian blind image restoration
Update : 2025-02-17 Size : 2.29mb Publisher : yan

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Propagation Algorithms for Variational Bayesian Learning.
Update : 2025-02-17 Size : 201kb Publisher : Vladimir15

In this paper, we propose a Bayesian methodology for receiver function analysis, a key tool in determining the deep structure of the Earth’s crust.We exploit the assumption of sparsity for receiver functions to develop a Bayesian deconvolution method as an alternative to the widely used iterative deconvolution.We model samples of a sparse signal as i.i.d. Student-t random variables. Gibbs sampling and variational Bayes techniques are investigated for our specific posterior inference problem. We used those techniques within the expectation-maximization (EM) algorithm to estimate our unknown model parameters. The superiority of the Bayesian deconvolution is demonstrated by the experiments on both simulated and real earthquake data.
Update : 2025-02-17 Size : 3.2mb Publisher : 张洋

基于变分贝叶斯的独立成分分析 模型包括一般的高斯混合模型以及高斯混合模型与隐马尔科夫结合在一起的-Based on variational Bayesian independent component analysis model consists of a general Gaussian mixture Gaussian mixture model and hidden Markov models and combined
Update : 2025-02-17 Size : 1013kb Publisher : czf

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基于变分贝叶斯估计的相机抖动模糊图像的盲复原算法.pdf-Blurred image of the blind restoration algorithm based on variational Bayesian estimation of camera jitter. Pdf
Update : 2025-02-17 Size : 901kb Publisher : li

基于变分贝叶斯里理论的图像超分辨率重建技术,对于理解超分辨率技术有一定帮助。-In theory based on variational Bayesian image super-resolution reconstruction technique for understanding the super-resolution technology has certainly helped.
Update : 2025-02-17 Size : 8kb Publisher :

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变分贝叶斯方法进行压缩感知中的稀疏信号的重构-Variational Bayesian method for CS reconstruction
Update : 2025-02-17 Size : 2kb Publisher : 胡辉

一种隐藏因子重构遗传调控网络的贝叶斯方法,这是一个变化的贝叶斯状态空间模型的MATLAB工具箱的图形化前端 -Reconstruction of a hidden factor of genetic regulatory network Bayesian approach, This is a graphical front end for the Variational Bayesian State Space Modelling toolbox for Matlab8
Update : 2025-02-17 Size : 451kb Publisher : lubo

一个基础贝叶斯变换的压缩感知,包含一个源代码和一个一维信号处理的例子和两个二维图像的例子-The basic BCS implemented via a variational Bayesian approach. The package includes the core VB-BCS code, one example of a 1-dimensional signal and two examples of 2-dimensional images.
Update : 2025-02-17 Size : 79kb Publisher : 我去

Variational Inference for Bayesian
Update : 2025-02-17 Size : 6kb Publisher : chung
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