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检索条件"机构=Research Center of Machine Learning and Data Analysis"
307 条 记 录,以下是71-80 订阅
排序:
Stochastic Principles of Optimality in Games with Nature and Their Application in Investment Management  14
Stochastic Principles of Optimality in Games with Nature and...
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14th International Conference Management of Large-Scale System Development, MLSD 2021
作者: Gorelik, Victor Zolotova, Tatiana Moscow Pedagogical State University Department of Simulation Systems and Operations Research FRC CSC RAS Moscow Russia Financial University Government of the Russian Federation Department of Data Analysis and Machine Learning Moscow Russia
The principle of optimality in decision-making for games with nature, based on assessments of efficiency and risk, is proposed. In contrast to the traditional approach to the definition of a mixed strategy in game the... 详细信息
来源: 评论
Nonequilibrium Universality of Rydberg-Excitation Spreading on a Dynamic Network
arXiv
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arXiv 2025年
作者: Ohler, Simon Brady, Daniel Mischke, Patrick Bender, Jana Ott, Herwig Niederprüm, Thomas Ripken, Winfried Otterbach, Johannes S. Fleischhauer, Michael Department of Physics Research Center OPTIMAS RPTU Kaiserslautern Kaiserslautern67663 Germany Mainz55128 Germany Machine Learning Group Technische Universität Berlin Berlin10587 Germany Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany Orthogonal Otter UG Berlin10961 Germany
Understanding the universal properties of non-equilibrium phase transitions of spreading processes is a challenging problem. This applies in particular to irregular and dynamically varying networks. We here investigat... 详细信息
来源: 评论
GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs
arXiv
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arXiv 2025年
作者: Zhang, Zhao Zhao, Ziwei Wang, Dong Wang, Liwei Center for Data Science Peking University China Yizhun Medical AI Co. Ltd China State Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University China Center for Machine Learning Research Peking University China China
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from traditional approaches based on pixel-... 详细信息
来源: 评论
Pitfalls of epistemic uncertainty quantification through loss minimisation  22
Pitfalls of epistemic uncertainty quantification through los...
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Proceedings of the 36th International Conference on Neural Information Processing Systems
作者: Viktor Bengs Eyke Hüllermeier Willem Waegeman Institute of Informatics University of Munich (LMU) Institute of Informatics University of Munich (LMU) and Munich Center for Machine Learning Department of Data Analysis and Mathematical Modeling Ghent University
Uncertainty quantification has received increasing attention in machine learning in the recent past. In particular, a distinction between aleatoric and epistemic uncertainty has been found useful in this regard. The l...
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Exploring Neural Network Landscapes: Star-Shaped and Geodesic Connectivity
arXiv
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arXiv 2024年
作者: Lin, Zhanran Li, Puheng Wu, Lei Department of Statistics and Data Science Wharton School University of Pennsylvania United States Department of Statistics Stanford University United States School of Mathematical Sciences Peking University China Center for Machine Learning Research Peking University China
One of the most intriguing findings in the structure of neural network landscape is the phenomenon of mode connectivity [FB17, DVSH18]: For two typical global minima, there exists a path connecting them without barrie... 详细信息
来源: 评论
RDMP: A Reference Detection and Mask Propagation Pipeline for Numerous 3D Glomeruli Segmentation in Large Volumes
RDMP: A Reference Detection and Mask Propagation Pipeline fo...
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IEEE International Symposium on Biomedical Imaging
作者: Ziling Lin Zehua Li Zifan Chen Yao Lu Fangxu Zhou Bin Dong Li Zhang Haifeng Li Center for Data Science Peking University Beijing China Peking University First Hospital Beijing China College of Future Technology Peking University Beijing China Beijing International Center for Mathematical Research Peking University Beijing China Center for Machine Learning Research Peking University Beijing China National Biomedical Imaging Center Peking University Beijing China
Quantitative analysis of numerous repetitive structures in large volumes is one of the most challenging tasks in biomedical imaging, primarily due to its intensive manual requirements. Kidney glomeruli exemplify this ... 详细信息
来源: 评论
AI-DRIVEN AUTOMATED TOOL FOR ABDOMINAL CT BODY COMPOSITION analysis IN GASTROINTESTINAL CANCER MANAGEMENT
arXiv
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arXiv 2025年
作者: Nan, Xinyu He, Meng Chen, Zifan Dong, Bin Tang, Lei Zhang, Li Center for Data Science Peking University China Department of Radiology Key Laboratory of Carcinogenesis and Translational Research Ministry of Education Peking University Cancer Hospital and Institute Beijing China Peking University Beijing China Center for Machine Learning Research Peking University Beijing China National Biomedical Imaging Center Peking University Beijing China
The incidence of gastrointestinal cancers remains significantly high, particularly in China, emphasizing the importance of accurate prognostic assessments and effective treatment strategies. research shows a strong co... 详细信息
来源: 评论
GraphMorph: tubular structure extraction by morphing predicted graphs  24
GraphMorph: tubular structure extraction by morphing predict...
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Proceedings of the 38th International Conference on Neural Information Processing Systems
作者: Zhao Zhang Ziwei Zhao Dong Wang Liwei Wang Center for Data Science Peking University and Pazhou Laboratory (Huangpu) Guangzhou Guangdong China Yizhun Medical AI Co. Ltd State Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University and Center for Machine Learning Research Peking University
Accurately restoring topology is both challenging and crucial in tubular structure extraction tasks, such as blood vessel segmentation and road network extraction. Diverging from traditional approaches based on pixel-...
来源: 评论
Large language models:game-changers in the healthcare industry
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Science Bulletin 2025年 第3期70卷 283-286页
作者: Bin Dong Li Zhang Jiajia Yuan Yang Chen Quanzheng Li Lin Shen Beijing International Center for Mathematical Research Peking UniversityBeijing 100871China Center for Machine Learning Research Peking UniversityBeijing 100871China Peking University Changsha Institute for Computing and Digital Economy Changsha 410205China Center for Data Science Peking UniversityBeijing 100871China Department of Gastrointestinal Oncology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing)Peking University Cancer Hospital and InstituteBeijing 100142China Massachusetts General Hospital Boston 02114-2696USA Harvard Medical School Boston 02115USA
The healthcare industry faces core challenges,including increasingly complex operational processes and entities,the rapid development of medical knowledge,and the rising demand for interdisciplinary *** complexity of ... 详细信息
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Ai-Driven Automated Tool for Abdominal CT Body Composition analysis in Gastrointestinal Cancer Management
Ai-Driven Automated Tool for Abdominal CT Body Composition A...
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IEEE International Symposium on Biomedical Imaging
作者: Xinyu Nan Meng He Zifan Chen Bin Dong Lei Tang Li Zhang Center for Data Science Peking University China Department of Radiology Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education) Peking University Cancer Hospital and Institute Beijing China Beijing International Center for Mathematical Research (BICMR) Peking University Beijing China Center for Machine Learning Research Peking University Beijing China National Biomedical Imaging Center Peking University Beijing China
The incidence of gastrointestinal cancers remains significantly high, particularly in China, emphasizing the importance of accurate prognostic assessments and effective treatment strategies. research shows a strong co... 详细信息
来源: 评论