Zobrazeno 1 - 10
of 131 196
pro vyhledávání: '"improved model"'
System identification involves constructing mathematical models of dynamic systems using input-output data, enabling analysis and prediction of system behaviour in both time and frequency domains. This approach can model the entire system or capture
Externí odkaz:
http://arxiv.org/abs/2411.16475
Autor:
Wu, Yumeng, Chiu, George
Publikováno v:
Letters Dyn. Sys. Control. Jul 2021, 1(3): 031010 (6 pages)
This paper proposes an improved model of height profile for drop-on-demand printing of UV curable ink. Unlike previous model, the proposed model propagates volume and covered area based on height difference between adjacent drops. Height profile is t
Externí odkaz:
http://arxiv.org/abs/2408.14509
Reliably detecting when a deployed machine learning model is likely to fail on a given input is crucial for ensuring safe operation. In this work, we propose DECIDER (Debiasing Classifiers to Identify Errors Reliably), a novel approach that leverages
Externí odkaz:
http://arxiv.org/abs/2408.00331
In this paper, we propose a new model for indoor THz communication assisted by RIS. We conduct a realistic modeling of indoor obstacles and analyze their impact on performance. Order statistics are applied to calculate the cumulative distribution fun
Externí odkaz:
http://arxiv.org/abs/2407.08386
Autor:
Reyes, Claudia, Stello, Dennis, Hon, Marc, Trampedach, Regner, Sandquist, Eric, Pinsonneault, Marc
The Gaia mission has provided highly accurate observations that have significantly reduced the scatter in the colour-magnitude diagrams of open clusters. As a result of the improved isochrone sequence of the open cluster M67, we have created new stel
Externí odkaz:
http://arxiv.org/abs/2407.03526
Autor:
Makatjane, Katleho1 (AUTHOR) makatjanek@ub.ac.bw, Mmelesi, Kesaobaka2 (AUTHOR)
Publikováno v:
Journal of Applied Economics. Dec2024, Vol. 27 Issue 1, p1-30. 30p.
Current approaches to model-based offline reinforcement learning often incorporate uncertainty-based reward penalization to address the distributional shift problem. These approaches, commonly known as pessimistic value iteration, use Monte Carlo sam
Externí odkaz:
http://arxiv.org/abs/2406.04088
Autor:
Schuldt, S., Grillo, C., Caminha, G. B., Mercurio, A., Rosati, P., Morishita, T., Stiavelli, M., Suyu, S. H., Bergamini, P., Brescia, M., Calura, F., Meneghetti, M.
We present new VLT/MUSE observations of the Hubble Frontier Field (HFF) galaxy cluster MACS J1149.5+2223, lensing the well-known supernova "Refsdal" into multiple images, which enabled the first cosmological applications with a strongly lensed supern
Externí odkaz:
http://arxiv.org/abs/2405.12287
Autor:
Wang, Ke, Dimitriadis, Nikolaos, Ortiz-Jimenez, Guillermo, Fleuret, François, Frossard, Pascal
Model merging and task arithmetic have emerged as promising scalable approaches to merge multiple single-task checkpoints to one multi-task model, but their applicability is reduced by significant performance loss. Previous works have linked these dr
Externí odkaz:
http://arxiv.org/abs/2405.07813
Learning compatible representations enables the interchangeable use of semantic features as models are updated over time. This is particularly relevant in search and retrieval systems where it is crucial to avoid reprocessing of the gallery images wi
Externí odkaz:
http://arxiv.org/abs/2405.02581