ARC Code TI: Block-GP: Scalable Gaussian Process Regression

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 framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction accuracy than a single global model with very high confidence.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {026:00}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
catalog_@id https://data.nasa.gov/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier OCIO-Fitara-113
issued 2015-07-21
landingPage http://ti.arc.nasa.gov/opensource/projects/block-gp/
modified 2020-01-29
programCode {026:046}
publisher Ames Research Center
resource-type Dataset
source_datajson_identifier true
source_hash c05efb86cce1a1ff17ab8bd310fce4f3f16969a6
source_schema_version 1.1
theme {Management/Operations}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • algorithm
  • amerigeo
  • amerigeoss
  • block-gp
  • ckan
  • code-ti
  • data
  • gaussian
  • geo
  • geoss
  • multimodal
  • national
  • north-america
  • regression
  • scalable
  • united-states
isopen False
license_id notspecified
license_title License not specified
maintainer Dennis Koga
maintainer_email dennis.koga@nasa.gov
metadata_created 2025-11-21T08:32:26.253999
metadata_modified 2025-11-21T08:32:26.254003
notes 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 framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction accuracy than a single global model with very high confidence.
num_resources 1
num_tags 16
title ARC Code TI: Block-GP: Scalable Gaussian Process Regression