Description: The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005-The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussia n regression process. - The code is for Matlab Ve rsion 1.0 EDN 2005 Platform: |
Size: 13927 |
Author:Joyce |
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Description: The Bayesian Committee Machine (BCM) is an approximation method for
large-scale Gaussian process regression.
- The code is for Matlab
Version 1.0, November 2005-The Bayesian Committee Machine (BCM) is an approximation method for large-scale Gaussia n regression process.- The code is for Matlab Ve rsion 1.0 EDN 2005 Platform: |
Size: 13312 |
Author:Joyce |
Hits:
Description: 本程序是基于matlab的时间序列预测模型GP源程序-This procedure is based on the matlab time series prediction model GP source code Platform: |
Size: 6144 |
Author:不吃萝卜的萝卜 |
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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 |
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Description: 介绍回归问题中高斯过程的应用，C. E. Rasmussen & C. K. I. Williams, Gaussian Processes for Machine Learning,-Gaussian regression problem introduced in the application process, CE Rasmussen & CKI Williams, Gaussian Processes for Machine Learning, Platform: |
Size: 410624 |
Author:google |
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Description: GMM-GMR is a set of Matlab functions to train a Gaussian Mixture Model (GMM) and retrieve generalized data through Gaussian Mixture Regression (GMR). It allows to encode efficiently any dataset in Gaussian Mixture Model (GMM) through the use of an Expectation-Maximization (EM) iterative learning algorithms. By using this model, Gaussian Mixture Regression (GMR) can then be used to retrieve partial output data by specifying the desired inputs. It then acts as a generalization process that computes conditional probability with respect to partially observed data. Platform: |
Size: 1034240 |
Author:ning |
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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 |
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Description: 高斯过程回归算法中计算K矩阵的简单算法，比较简单-Simple algorithm, Gaussian process regression algorithm to calculate the K matrix is relatively simple Platform: |
Size: 1024 |
Author:马宏 |
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Description: 这是基于mac ios的操作系统写的基于高斯过程回归的代码，效果很不错的-This is based on MAC ios operating system to write code based on gaussian process regression, the effect is very good
Platform: |
Size: 116736 |
Author:产思贤 |
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Description: 高斯过程回归及分类的代码，内容全，有实例，注释清晰。包括分类系列和预测回归系列，值得感兴趣的同学学习借鉴。-Gaussian process regression and classification code, content, there are instances, comments clear.Including classification and forecasting return series, is worthy of reference for anyone interested in learning. Platform: |
Size: 852992 |
Author:王芳 |
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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 |
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Search - Gaussian Process Regression