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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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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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一个不错的贝叶斯网络代码，可实现贝叶斯网络的训练，推理和预测。-A good Bayesian network code, enabling the training of Bayesian networks, inference and prediction.
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libDAI is a free/open source C++ library that provides implementations of
various (approximate) inference methods for discrete graphical models. libDAI
supports arbitrary factor graphs with discrete variables this includes
discrete Markov Rando
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Bayesian inference of epistatic interactions in case-control studies
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基于EKF的神经网络自适应在线学习算法，包含例子和文档。-We show that a hierarchical Bayesian modeling approach allows us to perform
regularization in sequential learning. We identify three inference
levels within this hierarchy: model selection, parameter estimation, and
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英文文献，介绍贝叶斯理论、贝叶斯推断模型、主要部件等内容-English literature, describes the contents of the Bayesian theory, Bayesian inference model, the main components
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本程序是用作贝叶斯推论的，训练好分类器，用于计算联合概率密度实现推理-This procedure is used for Bayesian inference, well trained classifier is used to calculate the joint probability density to achieve reasoning
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Probabilistic Programming and Bayesian Methods for Hackers是一本写给开发者的关于贝叶斯方法和概率问题的免费开源书。贝叶斯方法的用途十分广泛，在经济学上能找出一堆的例子。而在IT行业，机器学习是非常典型的一个应用。而机器学习也是本书作者写本书的一个重要的理由。
本书选择了Python作为编程语言，这一点都不奇怪，Python在科研和数据分析上的应用是非常方便和普遍的，比如大名鼎鼎的Numpy等。作者在本书中使用另一个库PyMC，它依赖
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