Project details for GPgrid toolkit for fast GP analysis on grid input

Logo GPgrid toolkit for fast GP analysis on grid input 0.1

by ejg20 - September 16, 2013, 18:01:16 CET [ BibTeX Download ]

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Our GP-grid algorithm uses the multiplicative structure of most common kernels to reduce runtime complexity from O(N^3) to O(D*N^((D+1)/D), where D is the number of dimensions. Importantly, our GP-grid algorithm is exact, requiring no approximations or sparsification procedures to perform inference.

We generalize GP-grid to handle incomplete grids and heteroscedastic noise, which importantly enables GP-grid to naturally incorporate known statistical properties of the data.

Changes to previous version:

Initial Announcement on

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


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