“learning models” datasets

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1,114 datasets for “learning models”

Open Government Canada
CCDR: Volume 46-6 -June 2020: Artificial intelligence in public health
Public Health Agency of Canada | Agence de la santé publique du CanadaUpdated 5 Jun 2020
The Canada Communicable Disease Report is a bilingual, open-access, peer-reviewed journal on the prevention and control …
- HTML
- PDF
Data.gov Catalog
Appendices for Geothermal Exploration Artificial Intelligence Report
Colorado School of MinesUpdated 13 Jan 2022
The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This …
- ZIP
- DOCX
Data.gov Catalog
Classification
DashlinkUpdated 31 Mar 2025
… A learning algorithm would use the supplied examples to generate a model that approximates the mapping between each …
- PDF
Opendatasoft hubLive preview
Synthetic Datasets and Evaluations for Sub-pixel Displacements Estimation from Optical Satellite Images with Deep Learning
Montagnon, TristanUpdated 2 Nov 2023
… Contains also evaluations on realistic synthetics examples of a deep learning pipeline using two of the three models …
- CSV
- JSON
- GEOJSON
- ODS API
data.gov.au
Deep Learning Image Segmentation of Sandy Beaches in Australia
CSIRO Data Access PortalUpdated 11 Nov 2026
… Domain-Specialised Deep Learning Segmentation Outperformed Generalised Models for National-Scale Sandy Beach Mapping in Australia (Yong et …
Data.gov Catalog
Utah FORGE 2-2439v2: A Multi-Component Approach to Characterizing In-Situ Stress - Final Report
University of PittsburghUpdated 22 Dec 2025
… The physics-based model accounts for thermo-poro-mechanical effects induced by drilling, fluid circulation, and logging operations …
- PDF
GovData Germany
Self-attention for raw optical Satellite Time Series Classification
open.bydataUpdated 14 Nov 2026
… This dataset was used to compare several deep learning models on preprocessed satellite data to industry standards with …
Socrata networkLive preview
iZone PLS School List
Department of Education (DOE)Updated 22 Mar 2013
… PLS was a Personalized Learning Systems pilot undertaken in elementaryschools where schools had access to adaptive learning software …
- CSV
- JSON
- SODA API
Open Government Canada
Briefing material for the President of the Public Health Agency of Canada’s appearance at the Standing Committee on Health (HESA) of May 2, 2022
Public Health Agency of Canada | Agence de la santé publique du CanadaUpdated 20 Nov 2024
Briefing material for the President of the Public Health Agency of Canada’s appearance at the Standing Committee …
- PDF
Socrata networkLive preview
Assessor [Archived 05-11-2022] - Residential Modeling Characteristics (Chicago)
Cook County Assessor's OfficeUpdated 20 Jul 2021
… To learn more about how the 2021 model used this data, read about our public Residential Automated Valuation …
- CSV
- JSON
- SODA API
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 16 Oct 2025
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 20 Jan 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 2 Mar 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 7 Mar 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 25 Mar 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 20 Apr 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Geoscience Australia DataUpdated 30 Apr 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
A new R package for spatial predictive modelling: spm
Geoscience Australia DataUpdated 16 Oct 2025
… Recently developed hybrid methods of machine learning methods and geostatistics have shown their advantages in spatial predictive modelling …
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 11 Jan 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML
data.gov.au
Predicting Seabed Sand Content across the Australian Margin Using Machine Learning and Geostatistical Methods
Australian Ocean Data NetworkUpdated 23 Jan 2026
… The predictive accuracy changes with methods, input secondary variables, model averaging, search window size and the study region …
- PDF
- HTML

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