Project details for AdditiveGP Toolkit for Fast GP Inference using Projected Additive Approximation

Logo AdditiveGP Toolkit for Fast GP Inference using Projected Additive Approximation 0.1

by ejg20 - September 14, 2013, 21:25:18 CET [ BibTeX Download ]

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Description:

Exact Gaussian Process (GP) regression has O(N^3) runtime for data size N, making it intractable for large N. AdditiveGP package allows the use of projected additive approximations for multidimensional GP models lowering the runtime complexity to O(N).

Changes to previous version:

Initial Announcement on mloss.org.

BibTeX Entry: Download
Supported Operating Systems: Windows, Mac
Data Formats: Any Format Supported By Matlab
Tags: Kernel, Gaussian Processes, Multidimensional
Archive: download here

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