Zobrazeno 1 - 10
of 816
pro vyhledávání: '"XU Kan"'
Publikováno v:
Zhipu Xuebao, Vol 44, Iss 2, Pp 267-276 (2023)
With the development of urbanization and industrialization, more and more chemicals were produced in large quantities and widely used. As a result, they entered the water environment through sewage discharge and agricultural drainage. Currently, the
Externí odkaz:
https://doaj.org/article/e07db0b834e74cdb9dfb8b651e13db5c
Publikováno v:
陆军军医大学学报, Vol 44, Iss 17, Pp 1677-1686 (2022)
Objective To investigate the effects of acute exposure to predator odor (2, 4, 5-trimethylthiazole, TMT) on the activity of the paraventricular thalamic nucleus (PVT)-central amygdala (CeA) neural pathway in mice. Methods CTB555 was injected into CeA
Externí odkaz:
https://doaj.org/article/5b4a27cdeb6c4ebf8f8f1cf9652d2f82
The rapid development of Large Language Models (LLMs) in vertical domains, including intellectual property (IP), lacks a specific evaluation benchmark for assessing their understanding, application, and reasoning abilities. To fill this gap, we intro
Externí odkaz:
http://arxiv.org/abs/2406.12386
We study the stochastic bandit problem with ReLU neural network structure. We show that a $\tilde{O}(\sqrt{T})$ regret guarantee is achievable by considering bandits with one-layer ReLU neural networks; to the best of our knowledge, our work is the f
Externí odkaz:
http://arxiv.org/abs/2405.07331
Uveitis demands the precise diagnosis of anterior chamber inflammation (ACI) for optimal treatment. However, current diagnostic methods only rely on a limited single-modal disease perspective, which leads to poor performance. In this paper, we invest
Externí odkaz:
http://arxiv.org/abs/2312.06171
Publikováno v:
Vojnosanitetski Pregled, Vol 74, Iss 5, Pp 456-462 (2017)
Background/Aim. There are limited data examining variations in the local expression of inflammatory mediators in anal fistulas where it is anticipated that an improved understanding of the inflammatory milieu might lead to the potential therapeutic o
Externí odkaz:
https://doaj.org/article/2d4c85b693ec47bfb3b55b324becde96
Large and complex datasets are often collected from several, possibly heterogeneous sources. Collaborative learning methods improve efficiency by leveraging commonalities across datasets while accounting for possible differences among them. Here we s
Externí odkaz:
http://arxiv.org/abs/2306.06291
Publikováno v:
In Automation in Construction September 2024 165
Autor:
Zhang, Hanbei, Thilker, Christian Ankerstjerne, Madsen, Henrik, Li, Rongling, Xiao, Fu, Ma, Tianyou, Xu, Kan
Publikováno v:
In Building and Environment 1 August 2024 261
Autor:
Xu, Kan, Bastani, Hamsa
Decision-makers often simultaneously face many related but heterogeneous learning problems. For instance, a large retailer may wish to learn product demand at different stores to solve pricing or inventory problems, making it desirable to learn joint
Externí odkaz:
http://arxiv.org/abs/2112.14233