Nothing Special   »   [go: up one dir, main page]

×
Please click here if you are not redirected within a few seconds.
Past year
  • Any time
  • Past hour
  • Past 24 hours
  • Past week
  • Past month
  • Past year
All results
Jun 7, 2024 · In this chapter, we delve into the topic of spatial cross-validation, a well known method for model assessment and parameter selection.
Jun 28, 2024 · Several studies have shown that spatial cross-validation (CV) methods consistently cause RF to yield larger prediction errors compared to standard CV methods.
Dec 5, 2023 · Random and spatial Cross-Validation (CV) methods are commonly used to evaluate machine learning-based spatial prediction models, and the obtained performance ...
Jun 17, 2024 · This tutorial shows how euclidean nearest neighbor distances in the geographic space or feature space can be calculated and visualized using CAST.
Apr 10, 2024 · The intention of the CAST package is to support the application of machine learning strategies for predictive mapping by implementing such methods.
Aug 7, 2024 · Spatial CV methods are designed for geographical model transferability assessment, i.e. to test the ability of the model to make predictions for new geographic ...
Oct 24, 2023 · A software that combines state-of-the-art spatial modeling techniques with the popular species distribution modeling software Maxent.
Mar 13, 2024 · The main objective of this study was to investigate an appropriate cross-validation (CV) strategy for establishing transferable UAV-based yield prediction ...
Jun 20, 2024 · This study delves into the multifaceted nature of cross-validation (CV) techniques in machine learning model evaluation and selection.
Missing: Globally | Show results with:Globally
Jun 12, 2024 · This tutorial shows how euclidean nearest neighbor distances in the geographic space or feature space can be calculated and visualized using CAST.