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Found 2 datasets matching "Block-GP: Scalable Gaussian Process Regression for Multimodal Data".

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#1 Federal
Block-GP: Scalable Gaussian Process Regression for Multimodal Data
- Organization: National Aeronautics and Space Administration
- Dataset Last Updated: March 31, 2025
Regression problems on massive data sets are ubiquitous in many application domains including the Internet, earth and space sciences, and finances. In many cases, regression algorithms such as...
- PDF
Search relevance: 544.17 | Views last month: 0 | Catalog Last Checked: May 18, 2026 at 04:49 PM
#2 Federal
ARC Code TI: Block-GP: Scalable Gaussian Process Regression
- Organization: National Aeronautics and Space Administration
- Dataset Last Updated: March 31, 2025
Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The...
- ZIP
Search relevance: 206.13 | Views last month: 1 | Catalog Last Checked: September 09, 2026 at 01:13 AM

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