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Model Evaluation for Geospatial Problems

Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

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Model Evaluation for Geospatial Problems. / Wang, Jing; Hallman, Tyler; Hopkins, Laurel et al.
2023. Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans.

Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

HarvardHarvard

Wang, J, Hallman, T, Hopkins, L, Kilbride, JB, Robinson, WD & Hutchinson, R 2023, 'Model Evaluation for Geospatial Problems', Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans, 15/12/23.

APA

Wang, J., Hallman, T., Hopkins, L., Kilbride, J. B., Robinson, W. D., & Hutchinson, R. (2023). Model Evaluation for Geospatial Problems. Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans.

CBE

Wang J, Hallman T, Hopkins L, Kilbride JB, Robinson WD, Hutchinson R. 2023. Model Evaluation for Geospatial Problems. Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans.

MLA

Wang, Jing et al. Model Evaluation for Geospatial Problems. 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, 15 Rhag 2023, New Orleans, Papur, 2023.

VancouverVancouver

Wang J, Hallman T, Hopkins L, Kilbride JB, Robinson WD, Hutchinson R. Model Evaluation for Geospatial Problems. 2023. Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans.

Author

Wang, Jing ; Hallman, Tyler ; Hopkins, Laurel et al. / Model Evaluation for Geospatial Problems. Papur a gyflwynwyd yn 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment, New Orleans.

RIS

TY - CONF

T1 - Model Evaluation for Geospatial Problems

AU - Wang, Jing

AU - Hallman, Tyler

AU - Hopkins, Laurel

AU - Kilbride, John Burns

AU - Robinson, W Douglas

AU - Hutchinson, Rebecca

PY - 2023/12/30

Y1 - 2023/12/30

N2 - Geospatial problems often involve spatial autocorrelation and covariate shift, whichviolate the independent, identically distributed assumption underlying standardcross-validation. In this work, we establish a theoretical criterion for unbiased cross-validation, introduce a preliminary categorization framework to guide practitioners in choosing suitable cross-validation strategies for geospatial problems, reconcile conflicting recommendations on best practices, and develop a novel, straightforward method with both theoretical guarantees and empirical success.

AB - Geospatial problems often involve spatial autocorrelation and covariate shift, whichviolate the independent, identically distributed assumption underlying standardcross-validation. In this work, we establish a theoretical criterion for unbiased cross-validation, introduce a preliminary categorization framework to guide practitioners in choosing suitable cross-validation strategies for geospatial problems, reconcile conflicting recommendations on best practices, and develop a novel, straightforward method with both theoretical guarantees and empirical success.

M3 - Paper

T2 - 2023 NeurIPS Workshop on Computational Sustainability: Pitfalls and Promises from Theory to Deployment

Y2 - 15 December 2023

ER -