搜索资源列表
gpml-matlab.tar
- Gaussian Process Matlab code
gpml-matlab
- 图像识别的matlab程序，其中包含EP，EM-EP算法等。很有参考价值。
gpml-matlab
- 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.
gpml
- 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
covFunctions
- 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
gpml
- 高斯过程的协方差函数 及其选着 列出多个协方差函数
gpml-matlab-v3.1-2010-09-27
- 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. T
gpml-matlab
- Matlab implementations of algorithms from Rasmussen & Williams "Gaussian Processes for Machine Learning", the MIT Press 2006.
gpml-matlab-v3.1-2010-09-27
- GPML的关于GPR gaussian process regression-gaussian process regression GPR
gpml-matlab-v3.1-2010-09-27.tar
- 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.
GPML-Matlab-Code
- 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 i
gpml
- 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.
gpml-matlab-v3.2-2013-01-15
- 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.
gpml
- 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
gpml-demo
- 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
gpml-matlab-v3.6-2015-07-07
- Gaussian process classification
2016-10-19 gpml-matlab-v4.0
- 高斯过程回归，分类，工具箱；Gaussian Processes ； Machine LearningToolbox.(Gaussian Processes ;Machine Learning (GPML) Toolbox.)
gpml-matlab-v4.1-2017-10-19
- 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
gpml
- 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)
GPR based on GPML-V4.1
- 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