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Bayesian Classification with Gaussian Processes.pdf文章的实现代码
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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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SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation, SiftGPU then uses a GPU/CPU mixed method to efficiently build compact keypoint lis
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Gaussian Processes, Gaussian mixter model
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Gaussian Processes for classification
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《Software for Flexible Bayesian Modeling and Markov Chain Sampling》是机器学习领域专家Neal编写的用于Bayesian和马尔可夫链Linux下的C语言工具包。很有名，也很权威。
-This software supports Bayesian regression and classification models based on neural networks and Gaussian processes, and Ba
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使用gpu、cpu并行进行sift算子计算匹配，能够在原来的基础上加速处理，但对显卡要求较高，具体环境配置使用方法可以参照mannual-SiftGPU is an implementation of SIFT [1] for GPU. SiftGPU processes pixels parallely to build Gaussian pyramids and detect DoG Keypoints. Based on GPU list generation[3], SiftGPU th
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高斯过程在分类中的应用。本程序采用拉普拉斯逼近基于高斯过程的贝叶斯分类。-Gaussian process in the Classification. This procedure uses the Laplace approximation of Gaussian processes based on Bayesian classification.
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Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
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Gaussian processes for Bayesian analysis
User guide for Matlab toolbox GPstuff
Version 3.1
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基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
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This book focuses on Least Squares Support Vector Machines (LS-SVMs) which are reformulations to standard SVMs. LS-SVMs are closely related to regularization networks and Gaussian processes but additionally emphasize and exploit primal-dual interpret
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Expectation-Maximization algorithm for a HMM with Multivariate Gaussian measurement
Usage
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[logl , PI , A , M , S] = em_ghmm(Z , PI0 , A0 , M0 , S0 , [options])
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高斯过程工具箱。由C++编制而成。适用于大规模非均质数据的回归及插值运算。-Gaussian Process Toolkit (GPTK) is a C++ library providing regression/interpolation methods based on Gaussian Processes.
In particular the toolkit implements a projected sequential Gaussian process method (p
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Demonstration Software for Gaussian Processes -Demonstration Software for Gaussian Processes
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GPML Matlab Code
The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexibl
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NETLAB algorithms for PR+书籍代码。学习模式识别的很好的老外书籍。基础模型很多，代码很细致，有很多算法的实现细节，对于应用很有帮助，-chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems.
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machine learning 方面有关于Bayesian Review and Gaussian Processes的资料，语言是python-machine learning aspects of information concerning the Bayesian Review and Gaussian Processes, language is python
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高斯过程二分类的预处理函数，它估计了log(q(y|X,θ-gaussian processes classification prepare function
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一本关于高斯过程回归的电子文档 非影印版(A book named Gaussian Processes for Machine Learning, a classic book about GP.)
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