Zobrazeno 1 - 10
of 602 649
pro vyhledávání: '"PERFORMANCE MEASURES"'
Autor:
Urcan, Oktay1 (AUTHOR) ourcan@illinois.edu, Yoon, Hayoung2 (AUTHOR)
Publikováno v:
Review of Accounting Studies. Dec2024, Vol. 29 Issue 4, p3679-3712. 34p.
This work discusses how to choose performance measures to compare numerical simulations of a flood event with one satellite image, e.g., in a model calibration or validation procedure. A series of criterion are proposed to evaluate the sensitivity of
Externí odkaz:
http://arxiv.org/abs/2408.00571
Publikováno v:
Advances in Transportation Studies. Nov2024, Vol. 64, p251-264. 14p.
Autor:
Dias de Amurim, Aldir1,2 profaldirdias@gmail.com, da Silva Júnior, José Henrique3 jose.henrique.cge@gmail.com, Celestino de Lima, Adilson4,5 celestinolima@yahoo.com.br, Alves Correia, José Jonas6,7 jonas.correia@ufdpar.edu.br
Publikováno v:
Revista Fatec Zona Sul (REFAS). jun2024, Vol. 10 Issue 5, p1-16. 16p.
Autor:
Visser, Owen, Datta, Somnath
As single-cell gene expression data analysis continues to grow, the need for reliable clustering methods has become increasingly important. The prevalence of heuristic means for method choice could lead to inaccurate reports if comprehensive evaluati
Externí odkaz:
http://arxiv.org/abs/2407.03467
Publikováno v:
Journal of South Asian Logistics and Transport, Vol 4, Iss 2, Pp 109-147 (2024)
Inventory management is a crucial component of sustainability, enabling companies to reduce expenses, enhance cash flow, and increase profitability. Inventory makes up a majority of current assets in the wholesale sector, where inefficiencies are bou
Externí odkaz:
https://doaj.org/article/b75470305c4649a2b3cf5ff39c3ddbd9
Autor:
Bentley, Jeremiah W.1 (AUTHOR), Bloomfield, Matthew J.2 (AUTHOR), Bloomfield, Robert J.3 (AUTHOR), Lambert, Tamara A.4 (AUTHOR)
Publikováno v:
Accounting Review. Jan2025, Vol. 100 Issue 1, p87-111. 25p.
Autor:
Saldivar-Carranza, Enrique D.1 (AUTHOR) desaij@purdue.edu, Desai, Jairaj1 (AUTHOR) thomp907@purdue.edu, Thompson, Andrew1 (AUTHOR) darcy@purdue.edu, Taylor, Mark2 (AUTHOR) marktaylor@utah.gov, Sturdevant, James3 (AUTHOR) jsturdevant@indot.in.gov, Bullock, Darcy M.1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 19, p6410. 18p.
Autor:
Zhang, Mingyuan, Agarwal, Shivani
There has been much interest in recent years in learning good classifiers from data with noisy labels. Most work on learning from noisy labels has focused on standard loss-based performance measures. However, many machine learning problems require us
Externí odkaz:
http://arxiv.org/abs/2402.01055