Zobrazeno 1 - 10
of 11 962
pro vyhledávání: '"Automated construction"'
Autor:
Zieliński, Krzysztof, Penning, Ryan, Blumberg, Bruce, Schlette, Christian, Kjærgaard, Mikkel Baun
Improving robot deployment is a central step towards speeding up robot-based automation in manufacturing. A main challenge in robot deployment is how to best place the robot within the workcell. To tackle this challenge, we combine two knowledge sour
Externí odkaz:
http://arxiv.org/abs/2410.00484
Scientific leaderboards are standardized ranking systems that facilitate evaluating and comparing competitive methods. Typically, a leaderboard is defined by a task, dataset, and evaluation metric (TDM) triple, allowing objective performance assessme
Externí odkaz:
http://arxiv.org/abs/2409.12656
Publikováno v:
Proceedings of the 41st International Conference on Machine Learning (ICML), Vienna, Austria, 2024
Large Language Models (LLMs) exhibit strong generalization capabilities to novel tasks when prompted with language instructions and in-context demos. Since this ability sensitively depends on the quality of prompts, various methods have been explored
Externí odkaz:
http://arxiv.org/abs/2407.00256
Publikováno v:
Comp. Bio. Med. Volume 165, October 2023, 107341
Despite recent advances in diagnosis and treatment, atherosclerotic coronary artery diseases remain a leading cause of death worldwide. Various imaging modalities and metrics can detect lesions and predict patients at risk; however, identifying unsta
Externí odkaz:
http://arxiv.org/abs/2405.13643
Autor:
Zhitao Mao1,2 mao_zt@tib.cas.cn, Jinhui Niu1,2, Jianxiao Zhao1,2,3, Yuanyuan Huang1,2,4, Ke Wu5, Liyuan Yun6, Jirun Guan1,2, Qianqian Yuan1,2, Xiaoping Liao1,2,7, Zhiwen Wang3, Hongwu Ma1,2 ma_hw@tib.cas.cn
Publikováno v:
Synthetic & Systems Biotechnology. Sep2024, Vol. 9 Issue 3, p494-502. 9p.
Autor:
Feng, Qiurui1 (AUTHOR) fingernal@163.com, Zhao, Ting1 (AUTHOR) zhaoting@mail.cgs.gov.cn, Liu, Chao1 (AUTHOR)
Publikováno v:
Minerals (2075-163X). Dec2024, Vol. 14 Issue 12, p1296. 25p.
Despite widespread applications of knowledge graphs (KGs) in various tasks such as question answering and intelligent conversational systems, existing KGs face two major challenges: information granularity and deficiency in timeliness. These hinder c
Externí odkaz:
http://arxiv.org/abs/2404.19146
Autor:
Liu, Mingyuan1 (AUTHOR) liumingyuan@stu.hrbnu.edu.cn, He, Wei1 (AUTHOR) hewei@hrbnu.edu.cn, Zhou, Guohui1 (AUTHOR), Zhu, Hailong1 (AUTHOR)
Publikováno v:
Mathematics (2227-7390). Aug2024, Vol. 12 Issue 15, p2418. 23p.
Autor:
Li, Xingjie Helen, Tao, Molei
We introduce a novel approach for decomposing and learning every scale of a given multiscale objective function in $\mathbb{R}^d$, where $d\ge 1$. This approach leverages a recently demonstrated implicit bias of the optimization method of gradient de
Externí odkaz:
http://arxiv.org/abs/2401.03511