搜索资源列表
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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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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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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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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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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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高斯过程隐变量模型的matlab源代码，实现了back-constraint 加速-gaussian processes latent variable model
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基于高斯过程的机器学习模型，很好用的集成算法--Gaussian Processes for Machine Learning
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Hidden Markov modelling of contourlet transforms for art authentication
Bayesian robust hidden Markov model
Hidden Markov Models for Molecular Motors
When wavelet meet HMM
Hidden Markov Tree model of Contourlet Transform
EM for HMM Multivar
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这是一个高斯过程回归和分类工具箱，功能非常齐全，可以为解决高斯过程相关的问题提供很多帮助- GAUSSIAN PROCESS REGRESSION AND CLASSIFICATION Toolbox version 3.6
for GNU Octave 3.2.x and Matlab 7.x
Copyright (c) by Carl Edward Rasmussen and Hannes Nickisch, 2015-07-07.
0) HOW
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这是一个关于GP-ADF和GP-RTSS的工具箱，主要基于“Robust Filtering and Smoothing with Gaussian Processes这篇文章-This software package provides a Matlab implementation of the GP-ADF and the GP-RTSS as described in
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber, Uwe
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该程序是高斯过程的经典程序，可用于过程分类和预测-Gaussian Processes for Machine Learning
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视觉跟踪方面2014年ECCV会议，Transfer Learning Based Visual Tracking
with Gaussian Processes Regression这篇文章的源代码-source code of Transfer Learning Based Visual Tracking with Gaussian Processes Regression，ECCV 2014
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MATLAB code. It was originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes for Machine Learning.(The code provided here originally demonstrated the main algorithms from Rasmussen and Williams: Gaussian Processes f
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