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[Other resourcegpml-matlab.tar

Description: Gaussian Process Matlab code
Platform: | Size: 818281 | Author: 刘冬 | Hits:

[Graph Recognizegpml-matlab

Description: 图像识别的matlab程序,其中包含EP,EM-EP算法等。很有参考价值。
Platform: | Size: 843836 | Author: asdasdasd | Hits:

[Graph Recognizegpml-matlab

Description: 图像识别的matlab程序,其中包含EP,EM-EP算法等。很有参考价值。-Matlab image recognition process, which includes EP, EM-EP algorithm. Useful reference value.
Platform: | Size: 843776 | Author: asdasdasd | Hits:

[matlabgpml

Description: 高斯过程在回归和分类问题中的应用,注释详细-Gaussian process regression and classification problems in the application, comments, details
Platform: | Size: 834560 | Author: google | Hits:

[AlgorithmcovFunctions

Description: 高斯回归建立代理模型行协方差函数的选着的变成-gpml-matlab-v3.1-2010-09-27
Platform: | Size: 2048 | Author: 张凯 | Hits:

[matlabgpml

Description: 高斯过程的协方差函数 及其选着 列出多个协方差函数
Platform: | Size: 38912 | Author: 张凯 | Hits:

[matlabgpml-matlab-v3.1-2010-09-27

Description: 高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版,更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1 version, updated on 2010-09-27
Platform: | Size: 609280 | Author: hu | Hits:

[matlabgpml-matlab

Description: Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
Platform: | Size: 608256 | Author: mli | Hits:

[matlabgpml-matlab-v3.1-2010-09-27

Description: GPML的关于GPR gaussian process regression-gaussian process regression GPR
Platform: | Size: 604160 | Author: longan | Hits:

[matlabgpml-matlab-v3.1-2010-09-27.tar

Description: 这是一个高斯分类算法的程序,有多种多元分类算法。-This is a gaussian classification algorithm of the program, a variety of multi-classification algorithm.
Platform: | Size: 550912 | Author: 未散 | Hits:

[matlabGPML-Matlab-Code

Description: 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 flexible framework for specifying GPs. It does not currently contain inference methods for sparse approximations. Other GP packages can be found here.
Platform: | Size: 512000 | Author: | Hits:

[Mathimatics-Numerical algorithmsgpml

Description: 高斯过程建模:可以针对多输入多输出对象进行建模。-Gaussian process modeling: You can object for multi-input multi-output modeling.
Platform: | Size: 1024 | Author: 曹学群 | Hits:

[matlabgpml-matlab-v3.2-2013-01-15

Description: 这是关于高斯过程国外人写的经典程序,可用于预测、分类等。-This is a Gaussian process abroad written about the classic procedure, can be used for prediction and classification.
Platform: | Size: 742400 | Author: zhang | Hits:

[Program docgpml

Description: 高斯过程在机器学习中的应用,非常经典的一本书-gaussian processes and machine learning
Platform: | Size: 2835456 | Author: 张番栋 | Hits:

[matlabgpml-demo

Description: 高斯过程 提供了多个核函数的选择以及拟合还有预测上的使用-Gaussion Process
Platform: | Size: 930816 | Author: 郝鹏宇 | Hits:

[matlabgpml-matlab-v3.6-2015-07-07

Description: Gaussian process classification
Platform: | Size: 1005568 | Author: Thai Pham | Hits:

[Other2016-10-19 gpml-matlab-v4.0

Description: 高斯过程回归,分类,工具箱;Gaussian Processes ; Machine LearningToolbox.(Gaussian Processes ;Machine Learning (GPML) Toolbox.)
Platform: | Size: 1298432 | Author: 哈巴狗@招财喵 | Hits:

[AI-NN-PRgpml-matlab-v4.1-2017-10-19

Description: 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 for Machine Learning. It has since grown to allow more likelihood functions, further inference methods and a flexible framework for specifying GPs.)
Platform: | Size: 1319936 | Author: 兰梦ye | Hits:

[matlabgpml

Description: gpml的一维范例,在官网上面有三个文件的用法说明(an basic example for GPML)
Platform: | Size: 1024 | Author: brighty | Hits:

[matlabGPR based on GPML-V4.1

Description: 基于 gpml-matlab-v4.1 工具箱,简单实现了高斯过程回归(Gaussian process regression,GPR)的多变量数据回归,给出了每个预测值的均值以及对应的方差。代码有详细的注释,附有训练数据和测试数据。(Based on the gpml-matlab-v4.1 toolbox, Gaussian process regression (GPR) multivariate data regression is simply implemented, and the mean and corresponding variance of each predictor are given. The code has detailed notes with training data and test data.)
Platform: | Size: 1464320 | Author: Galsang | Hits:
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