Zobrazeno 1 - 10
of 28 355
pro vyhledávání: '"Data prediction"'
The advancement of large language model (LLM) based artificial intelligence technologies has been a game-changer, particularly in sentiment analysis. This progress has enabled a shift from highly specialized research environments to practical, widesp
Externí odkaz:
http://arxiv.org/abs/2410.13247
This study develops a cloud-based deep learning system for early prediction of diabetes, leveraging the distributed computing capabilities of the AWS cloud platform and deep learning technologies to achieve efficient and accurate risk assessment. The
Externí odkaz:
http://arxiv.org/abs/2410.12642
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction
Multi-source spatial point data prediction is crucial in fields like environmental monitoring and natural resource management, where integrating data from various sensors is the key to achieving a holistic environmental understanding. Existing models
Externí odkaz:
http://arxiv.org/abs/2407.00748
Publikováno v:
Science Technology & Engineering. 2024, Vol. 24 Issue 18, p7719-7725. 7p.
Autor:
Press, William H.
We propose to capture relevant statistical associations in a dataset of categorical survey responses by a method, here termed MODP, that "learns" a probabilistic prediction function L. Specifically, L predicts each question's response based on the sa
Externí odkaz:
http://arxiv.org/abs/2406.05264
Akademický článek
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Akademický článek
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Publikováno v:
Partial Differential Equations in Applied Mathematics, Vol 11, Iss , Pp 100760- (2024)
This study aims to enhance the comprehension of the fundamental fluid behavior by comparing Newtonian fluid with second-grade fluid under the influence of periodic magnetic fields, nonlinear radiative nanomaterial, and a porous stretched surface feat
Externí odkaz:
https://doaj.org/article/3606f23675bd470babfed23a03b52e30
Autor:
Fang, Xi, Xu, Weijie, Tan, Fiona Anting, Zhang, Jiani, Hu, Ziqing, Qi, Yanjun, Nickleach, Scott, Socolinsky, Diego, Sengamedu, Srinivasan, Faloutsos, Christos
Publikováno v:
TMLR 2024
Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, tabular data synthesis, question answering, and table understanding. Eac
Externí odkaz:
http://arxiv.org/abs/2402.17944
Publikováno v:
Chinese Medical Equipment Journal. Aug2024, Vol. 45 Issue 8, p73-77. 5p.