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ReBEL is a Matlabtoolkit of functions and scr ipts, designed to
facilitate sequential Bayesian inference (estimation) in general state
space models. This software consolidates research on new methods for
recursive Bayesian estimation and Kalman
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ReBEL is a Matlab® toolkit of functions and scr ipts, designed to facilitate sequential Bayesian inference (estimation) in general state space models. This software consolidates research on new methods for recursive Bayesian estimation and Kalman
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本源码是基于Markov chain Monte Carlo (MCMC)的Bayesian inference工具包,其中包括MCMC采样，基于MCMC的高斯分类，同时描述了采样的一些方法。其中还有使用文档,toolbox is a collection of Matlab functions for Bayesian inference
with Markov chain Monte Carlo (MCMC) methods
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this the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures-this is the doc related to the Bayesian Inference for Dynamic Models with Dirichlet Process Mixtures
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采用贝叶斯推论的数据融合，将CHAN算法和泰勒算法的结果经过处理，得到更好的定位结果-Bayesian inference using the data fusion, will CHAN Taylor algorithm and the results of algorithm after treatment, get better positioning results
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Gaussian process models for Bayesian analysis (for Matlab) V1.1.0-GPstuff toolbox is a collection of Matlab functions for Bayesian inference with Gaussian process models.The toolbox contains some of the recent developments in sparse Gaussian processe
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Inference program of Bayesian network -Inference program of Bayesian network
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压缩传感是一个从2006年左右开始兴起的研究领域，它关注于如何采样信号，也就是信号的采样方式或者压缩方式。通过设计一种特殊的采样方案，可以使得采样频率降低为信号的“信息率”，而不是传统的奈奎斯特采样率，于是，实际的采样率可以大大低于奈奎斯特频率，却只损失很少的信息量，依然保持了充足的信息量足以恢复出采样前的原始信号。这个研究思想挑战了奈奎斯特频率的理论极限，会对整个信号处理领域产生极其深远的影响，同时，信号处理的许多应用领域也会随之发生根本性的发展和变化。
-Compressive sens
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Infer.NET is a .NET framework for machine learning. It provides state-of-the-art message-passing algorithms and statistical routines for performing Bayesian inference.
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贝叶斯推理的代码，建议下载，极具参考意义-Bayesian inference of code, it is recommended to download, great reference value
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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.
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这是国外研究Gibbs采样和Bayesian推理的研究人员写的工具包软件，最新版本为V1.4.3。很适合研究机器学习及其贝叶斯推理的科研人员使用。-The BUGS (Bayesian inference Using Gibbs Sampling) project is concerned with flexible software for the Bayesian analysis of complex statistical models using Markov chain Monte
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Bayesian Inference and Poisson Distribution
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Application that loads a Bayesian Network, and computes inference by enumeration on it. Also tests if the net is DAG and show the nets graph.
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本程序是基于马尔可夫链蒙特卡尔理论的贝叶斯工具。版本为MCMC Methods for MLP and GP and Stuff (for Matlab) V2.1 -A collection of matlab functions for Bayesian inference with Markov chain Monte Carlo (MCMC) methods. The purpose of this toolbox was to port some of the features in
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贝叶斯推断程序包，利用贝叶斯分析的方式通过少量观测数据实现可靠性分析-Bayesian Inference Package.
Bayesian analysis is used as a reliable method for analyzing GLM
when there are only few observations
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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
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In this paper, we propose a Bayesian inference-based recommendation system for online social networks. In our system,users share their content ratings with friends. The rating similarity between a pair of friends is measured by a set of conditional p
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Speech processing applications such as speech enhancement and speaker identification rely on the estimation of relevant parameters from the speech signal. These
parameters must often be estimated from noisy observations since speech signals are
r
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该代码能够用python实现一般的贝叶斯推断，好用。(The code can be used to implement general Bayesian inference with Python.)
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