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pro vyhledávání: '"GAO, Zhan"'
Covariance Neural Networks (VNNs) perform graph convolutions on the covariance matrix of tabular data and achieve success in a variety of applications. However, the empirical covariance matrix on which the VNNs operate may contain many spurious corre
Externí odkaz:
http://arxiv.org/abs/2410.01669
LASSO introduces shrinkage bias into estimated coefficients, which can adversely affect the desirable asymptotic normality and invalidate the standard inferential procedure based on the $t$-statistic. The desparsified LASSO has emerged as a well-know
Externí odkaz:
http://arxiv.org/abs/2409.10030
Autor:
Gao, Zhan, Moon, Hyungsik Roger
This paper addresses the robust estimation of linear regression models in the presence of potentially endogenous outliers. Through Monte Carlo simulations, we demonstrate that existing $L_1$-regularized estimation methods, including the Huber estimat
Externí odkaz:
http://arxiv.org/abs/2408.03930
Publikováno v:
JMIR Medical Informatics, Vol 8, Iss 9, p e18689 (2020)
BackgroundParkinson disease (PD) is one of the most common neurological diseases. At present, because the exact cause is still unclear, accurate diagnosis and progression monitoring remain challenging. In recent years, exploring the relationship betw
Externí odkaz:
https://doaj.org/article/3045328e184c46c794e5b3c9e51b643a
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 7, p e18697 (2020)
BackgroundThe number of patients with neurological diseases is currently increasing annually, which presents tremendous challenges for both patients and doctors. With the advent of advanced information technology, digital medical care is gradually ch
Externí odkaz:
https://doaj.org/article/caa62b2ab6c74e6f9fdf38ca1a69a4bc
This work views the multi-agent system and its surrounding environment as a co-evolving system, where the behavior of one affects the other. The goal is to take both agent actions and environment configurations as decision variables, and optimize the
Externí odkaz:
http://arxiv.org/abs/2403.14583
We carry out a detailed study of medium modifications on momentum and angular correlations between a large transverse momentum hadron and a $Z/\gamma$ trigger in relativistic heavy-ion collisions within a perturbative QCD parton model improved by the
Externí odkaz:
http://arxiv.org/abs/2312.17460
Analyzing the stability of graph neural networks (GNNs) under topological perturbations is key to understanding their transferability and the role of each architecture component. However, stability has been investigated only for particular architectu
Externí odkaz:
http://arxiv.org/abs/2312.02372
Artificial Intelligence (AI) is widely used in image classification, recognition, text understanding, and natural language processing, leading to significant advancements. In this paper, we introduce AI into the field of fruit quality detection. We d
Externí odkaz:
http://arxiv.org/abs/2311.11120
Publikováno v:
Zhongguo shuxue zazhi, Vol 37, Iss 10, Pp 1091-1100 (2024)
Objective To explore the presence and potential interactions of microbes and bacteriophages in the blood of healthy individuals by employing in-depth bioinformatics mining to analyze the structure and function of the blood microbiome ecosystem. Metho
Externí odkaz:
https://doaj.org/article/4141a51f04884088be4afab0d0f598d2