Zobrazeno 1 - 10
of 720
pro vyhledávání: '"Li, Jiaxi"'
Autor:
Li, Jiaxin
Poröse Kohlenstoffe sind aufgrund ihrer großen Oberfläche, ihrer anpassbaren Porengröße und -zusammensetzung, ihrer guten Leitfähigkeit und Stabilität für die kapazitive Energiespeicherung unverzichtbar. Die effiziente Synthese von porösen K
Externí odkaz:
http://edoc.hu-berlin.de/18452/29868
Differentiable particle filters combine the flexibility of neural networks with the probabilistic nature of sequential Monte Carlo methods. However, traditional approaches rely on the availability of labelled data, i.e., the ground truth latent state
Externí odkaz:
http://arxiv.org/abs/2405.01251
Differentiable particle filters are an emerging class of sequential Bayesian inference techniques that use neural networks to construct components in state space models. Existing approaches are mostly based on offline supervised training strategies.
Externí odkaz:
http://arxiv.org/abs/2312.05955
The underlying mechanism of neural networks in capturing precise knowledge has been the subject of consistent research efforts. In this work, we propose a theoretical approach based on Neural Tangent Kernels (NTKs) to investigate such mechanisms. Spe
Externí odkaz:
http://arxiv.org/abs/2310.16350
While prompt tuning approaches have achieved competitive performance with high efficiency, we observe that they invariably employ the same initialization process, wherein the soft prompt is either randomly initialized or derived from an existing embe
Externí odkaz:
http://arxiv.org/abs/2310.10094
This work considers the problem of heterogeneous graph-level anomaly detection. Heterogeneous graphs are commonly used to represent behaviours between different types of entities in complex industrial systems for capturing as much information about t
Externí odkaz:
http://arxiv.org/abs/2308.14340
Recent advancements in pre-trained language models (PLMs) have demonstrated that these models possess some degree of syntactic awareness. To leverage this knowledge, we propose a novel chart-based method for extracting parse trees from masked languag
Externí odkaz:
http://arxiv.org/abs/2306.00645
Autor:
Zhao, Meng, Hu, Yifan, Jiang, Ruixuan, Zhao, Yuanli, Zhang, Dong, Zhang, Yan, Wang, Rong, Cao, Yong, Zhang, Qian, Ma, Yonggang, Li, Jiaxi, Yu, Shaochen, Li, Wenjie, Zhang, Ran, Zheng, Yefeng, Wang, Shuo, Zhao, Jizong
Background: To develop an artificial intelligence system that can accurately identify acute non-traumatic intracranial hemorrhage (ICH) etiology based on non-contrast CT (NCCT) scans and investigate whether clinicians can benefit from it in a diagnos
Externí odkaz:
http://arxiv.org/abs/2302.00953
Publikováno v:
Cailiao gongcheng, Vol 52, Iss 2, Pp 78-91 (2024)
Sweat contains many physiological information about the body, such as electrolytes, metabolites, hormones, temperature, etc. Sweat-based wearable sensors enable real-time, continuous, non-invasive monitoring of multimodal bio-metrics at the molecular
Externí odkaz:
https://doaj.org/article/59f308c86df24be886e7e4d03b14ca49
Publikováno v:
In Tissue and Cell August 2024 89