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AdditiveGP Toolkit for Fast GP Inference using Projected Additive Approximation 0.1
by ejg20 - September 14, 2013, 21:25:18 CET [
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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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Project details for AdditiveGP Toolkit for Fast GP Inference using Projected Additive Approximation
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Details
- Version:
- 0.1
- Submitter:
- ejg20
- Author(s):
- Elad Gilboa , Yunus Saatci , John Cunningham
- Posted:
- 14 September 2013
- Last Updated:
- 14 September 2013
- Open Source License:
- gnu, gnu gpl v3
- Programming Language(s):
- matlab, octave, mex