Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Huang Kuihua"'
Autor:
Li, Zongyuan, Ni, Yanan, Qi, Runnan, Jiang, Lumin, Lu, Chang, Xu, Xiaojie, Liu, Xiangbei, Li, Pengfei, Guo, Yunzheng, Ma, Zhe, Guo, Xian, Huang, Kuihua, Zhang, Xuebo
This paper introduces a new environment LLM-PySC2 (the Large Language Model StarCraft II Learning Environment), a platform derived from DeepMind's StarCraft II Learning Environment that serves to develop Large Language Models (LLMs) based decision-ma
Externí odkaz:
http://arxiv.org/abs/2411.05348
Publikováno v:
IEEE Access, Vol 8, Pp 149841-149853 (2020)
Machine learning approaches are widely used to analyze and detect the increasingly serious problem of credit card fraud. However, typical credit card datasets present imbalanced classification situations because of severely skewed class distributions
Externí odkaz:
https://doaj.org/article/63c6b506882a4e60b214bcbb8f34c7f9
Autor:
Deng, Wenxiao, Li, Wenbin, Ding, Tianyu, Wang, Lei, Zhang, Hongguang, Huang, Kuihua, Huo, Jing, Gao, Yang
Dataset distillation has emerged as a promising approach in deep learning, enabling efficient training with small synthetic datasets derived from larger real ones. Particularly, distribution matching-based distillation methods attract attention thank
Externí odkaz:
http://arxiv.org/abs/2404.00563
Autor:
Zhao, Yong, Zhu, Zhengqiu, Chen, Bin, Qiu, Sihang, Huang, Jincai, Lu, Xin, Yang, Weiyi, Ai, Chuan, Huang, Kuihua, He, Cheng, Jin, Yucheng, Liu, Zhong, Wang, Fei-Yue
The growing complexity of real-world systems necessitates interdisciplinary solutions to confront myriad challenges in modeling, analysis, management, and control. To meet these demands, the parallel systems method rooted in Artificial systems, Compu
Externí odkaz:
http://arxiv.org/abs/2311.12838
Autor:
Zhang, Bingxu, Fan, Changjun, Liu, Shixuan, Huang, Kuihua, Zhao, Xiang, Huang, Jincai, Liu, Zhong
Graph neural networks (GNNs) are effective machine learning models for many graph-related applications. Despite their empirical success, many research efforts focus on the theoretical limitations of GNNs, i.e., the GNNs expressive power. Early works
Externí odkaz:
http://arxiv.org/abs/2308.08235
We consider a simulation optimization problem for a context-dependent decision-making, which aims to determine the top-m designs for all contexts. Under a Bayesian framework, we formulate the optimal dynamic sampling decision as a stochastic dynamic
Externí odkaz:
http://arxiv.org/abs/2305.04086
Publikováno v:
In Expert Systems With Applications 1 April 2024 239
Autor:
Liu, Qihui1 (AUTHOR), Huang, Kuihua2 (AUTHOR), Liu, Haiying1,3 (AUTHOR) liuhaiying@nuaa.edu.cn, Wang, Rui2,4 (AUTHOR), Cheng, Guangquan2 (AUTHOR)
Publikováno v:
Unmanned Systems. Apr2024, p1-11. 11p.
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Akademický článek
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