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Metadata Updated: December 7, 2023

The code in the stableGP package implements Gaussian process calculations using efficient and numerically stable algorithms. Description of the algorithms is in the paper "Stable and Efficient Gaussian Process Calculations" by L. Foster, A. Waagen, N. Aijaz, M. Hurley, A. Luis, J. Rinsky, C. Satyavolu, M. Way, P. Gazis, and A. Srivastava accepted in the Journal of Machine Learning Research, February, 2009.

The easiest way to get started using the code is to download and unzip the zip file, start Matlab (7.0 or higher), move to the appropriate folder and type either "demo_bootstrap" or "demo_history" to run one of the demonstration files.

Code in the zip file is based on the code used in the text Gaussian Processes or Machine Learning by Rasmussen and Williams ( So that the demonstrations are self contained and do not require that the user download additional code the zip file contains a few functions that are copied directly from Rasmussen and Williams' code.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date November 12, 2020
Metadata Updated Date December 7, 2023
Data Update Frequency irregular

Metadata Source

Harvested from NASA Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date December 7, 2023
Publisher Dashlink
Identifier DASHLINK_123
Data First Published 2010-09-10
Data Last Modified 2020-01-29
Public Access Level public
Data Update Frequency irregular
Bureau Code 026:00
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 6fd36b28-c7b5-43e1-82b4-d9608d68a629
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL
Program Code 026:029
Source Datajson Identifier True
Source Hash 5c89ee0fb0f475feda87e747fe3f66a7d951099f180f22a46a94bd1b89b2a84c
Source Schema Version 1.1

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