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2,369 datasets for “optimization”

  1. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 5 Mar 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  2. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 16 Mar 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  3. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 29 Mar 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  4. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 4 Apr 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  5. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 10 Apr 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  6. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 16 Apr 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  7. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 5 May 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  8. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 5 Jun 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  9. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 16 Jun 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  10. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 23 Jun 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  11. data.gov.au

    Application of random forest, generalised linear model and their hybrid methods with geostatistical techniques to count data: Predicting sponge species richness

    Australian Ocean Data NetworkUpdated 27 Jun 2026

    … 1) of five variable selection methods, one is suitable for selecting optimal RF predictive models; 2) traditional model …

    • HTML
  12. Data.gov Catalog

    Percent of Household Overcrowding (> 1.0 persons per room) and Severe Overcrowding (> 1.5 persons per room)

    California Department of Public HealthUpdated 7 Nov 2025

    … community environments and plan for healthy communities that optimize public health. More information on HCI can be found …

    • CSV
    • XLSX
    • ZIP
    • PDF
  13. data.overheid.nl

    Bbp, productie en bestedingen; kwartalen, mutaties, na, 1995- 2024-I

    CBS OpenDataUpdated 10 Dec 2025

    … zodat het beeld van de Nederlandse economie weer optimaal aansluit bij alle onderliggende statistieken, bronnen en internationale richtlijnen …

    • JSON
    • ATOM
  14. data.gov.uk

    QICS Paper: The use of scientific diving in support of a novel carbon dioxide release experiment

    British Geological Survey (BGS)Updated 13 Nov 2026

    … Diving was also employed to determine the most optimum experimental site prior to the program’s initiation and …

    • PDF
  15. data.gov.uk

    Treescape typology at 1km resolution, Great Britain, 2018

    Environmental Information Data CentreUpdated 6 Nov 2026

    … Self-Organised Maps and this dataset presents the optimum number of stable clusters from the typology analysis. The …

    • ZIP
  16. data.gouv.fr

    Mise à disposition de données de qualité de l’air sur la France (www.prevair.org)

    Institut National de l'Environnement Industriel et des RisquesUpdated 20 May 2025

    … Les données mises à disposition concernent la **prévision** (jusqu’à J+2) et l’**analyse** (représentation optimale sur …

    • NETCDF
  17. data.gov.au

    Soil and Landscape Grid National Soil Attribute Maps - Rock outcrop occurrence (3" resolution) - Release 1

    Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 10 Jun 2026

    … Cloud Optimised GeoTIFF;

    • HTML
    • WMS
    • PNG
  18. data.gov.au

    Soil and Landscape Grid National Soil Attribute Maps - Effective Cation Exchange Capacity (3" resolution) - Release 1

    Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 10 Jun 2026

    … Cloud Optimised GeoTIFF;

    • HTML
    • WMS
    • PNG
  19. data.gov.au

    Soil and Landscape Grid National Soil Attribute Maps - Coarse Fragments (3" resolution) - Release 1

    Terrestrial Ecosystem Research Network's Data DiscoveryUpdated 10 Jun 2026

    … Cloud Optimised GeoTIFF.

    • HTML
    • WMS
    • WCS
    • PNG
  20. Open Government Canada

    Benthoscape Map of German Bank

    Fisheries and Oceans Canada | Pêches et Océans CanadaUpdated 24 Mar 2026

    … Unsupervised classifications (acoustic classifications) optimized at 15 classes using Idrisi CLUSTER method (pixel based) Number representing the benthoscape …

    • ESRI REST
    • FGDB/GDB
    • CSV
    • HTML
“optimization” datasets · Open Data Finder