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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101-110 订阅
排序:
Region-Aware Metric learning for Open World Semantic Segmentation via Meta-Channel Aggregation
arXiv
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arXiv 2022年
作者: Dong, Hexin Chen, Zifan Yuan, Mingze Xie, Yutong Zhao, Jie Yu, Fei Dong, Bin Zhang, Li Center for Data Science Peking University Beijing China National Biomedical Imaging Center Peking University Beijing China Center for Machine Learning Research Peking University Beijing China Peking University Beijing China
As one of the most challenging and practical segmentation tasks, open-world semantic segmentation requires the model to segment the anomaly regions in the images and incrementally learn to segment out-of-distribution ... 详细信息
来源: 评论
Accelerating crystal structure search through active learning with neural networks for rapid relaxations
arXiv
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arXiv 2024年
作者: Hessmann, Stefaan S.P. Schütt, Kristof T. Gebauer, Niklas W.A. Gastegger, Michael Oguchi, Tamio Yamashita, Tomoki Machine Learning Group Technische Universität Berlin Berlin10587 Germany Berlin Institute for the Foundations of Learning and Data Berlin10587 Germany BASLEARN TU Berlin BASF Joint Lab for Machine Learning Technische Universität Berlin Berlin10587 Germany Center for Spintronics Research Network Osaka University 1-3 Machikaneyama Toyonaka Osaka560-8531 Japan Department of Electrical Electronics and Information Engineering Nagaoka University of Technology 1603-1 Kamitomioka-machi Nagaoka Niigata940-2188 Japan
Global optimization of crystal compositions is a significant yet computationally intensive method to identify stable structures within chemical space. The specific physical properties linked to a three-dimensional ato... 详细信息
来源: 评论
Design and Implementation of a data Governance Framework and Platform: A Case Study of a National research Organization of Thailand
Design and Implementation of a Data Governance Framework and...
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International Joint Conference on Computer Science and Software Engineering (JCSSE)
作者: Sapa Chanyachatchawan Krich Nasingkun Patipat Tumsangthong Porntiwa Chata Marut Buranarach Monsak Socharoentum Leveraging Technology Solutions Section National Electronics and Computer Technology Center Bangkok Thailand Strategic Analytics Networks with Machine Learning and AI Research National Electronics and Computer Technology Center Bangkok Thailand Data Science and Analytics Research Group National Electronics and Computer Technology Center Bangkok Thailand Digital Government Development Agency Bangkok Thailand
In the current era of extensive data usage across industries, data collection, preservation, utilization, and organization has become more challenging and nuanced because it is necessary to consider critical concerns ...
来源: 评论
Flow-Based Sampling for Entanglement Entropy and the machine learning of Defects
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Physical Review Letters 2025年 第15期134卷 151601-151601页
作者: Andrea Bulgarelli Elia Cellini Karl Jansen Stefan Kühn Alessandro Nada Shinichi Nakajima Kim A. Nicoli Marco Panero Department of Physics University of Turin and INFN Turin unit Via Pietro Giuria 1 I-10125 Turin Italy Computation-Based Science and Technology Research Center The Cyprus Institute Nicosia Cyprus Deutsches Elektronen-Synchrotron DESY Zeuthen Germany Berlin Institute for the Foundations of Learning and Data (BIFOLD) Berlin Germany Machine Learning Group Technische Universität Berlin Berlin Germany RIKEN Center for AIP Tokyo Japan Transdisciplinary Research Area (TRA) Matter University of Bonn Germany Helmholtz Institute for Radiation and Nuclear Physics (HISKP) Bonn Germany Department of Physics and Helsinki Institute of Physics PL 64 FIN-00014 University of Helsinki Finland
We introduce a novel technique to numerically calculate Rényi entanglement entropies in lattice quantum field theory using generative models. We describe how flow-based approaches can be combined with the replica... 详细信息
来源: 评论
On the Mathematics of RNA Velocity II: Algorithmic Aspects
arXiv
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arXiv 2023年
作者: Li, Tiejun Wang, Yizhuo Yang, Guoguo Zhou, Peijie LMAM School of Mathematical Sciences Peking University Beijing100871 China Center for Machine Learning Research Peking University Beijing100871 China Center for Data Science Peking University Beijing100871 China Department of Mathematics University of California Irvine IrvineCA92697 United States
In a previous paper [CSIAM Trans. Appl. Math. 2 (2021), 1-55], the authors proposed a theoretical framework for the analysis of RNA velocity, which is a promising concept in scRNA-seq data analysis to reveal the cell ... 详细信息
来源: 评论
The Conditional Cauchy-Schwarz Divergence With Applications to Time-Series data and Sequential Decision Making
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IEEE Transactions on Pattern analysis and machine Intelligence 2025年 第7期47卷 5901-5917页
作者: Shujian Yu Hongming Li Sigurd Løkse Robert Jenssen José C. Príncipe Machine Learning Group UiT - The Arctic University of Norway Tromsø Norway Quantitative Data Analytics Group Vrije Universiteit Amsterdam Amsterdam The Netherlands Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Drones and Autonomous Systems Group NORCE Norwegian Research Centre Tromsø Norway Pioneer AI Centre Copenhagen University København Denmark Norwegian Computing Center Oslo Norway
The Cauchy-Schwarz (CS) divergence was developed by Príncipe et al. in 2000. In this paper, we extend the classic CS divergence to quantify the closeness between two conditional distributions and show that the de... 详细信息
来源: 评论
HmBERT: Historical Multilingual Language Models for Named Entity Recognition
arXiv
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arXiv 2022年
作者: Schweter, Stefan März, Luisa Schmid, Katharina Çano, Erion Bayerische Staatsbibliothek München Digital Library/ Munich Digitization Center Munich Germany Digital Philology Research Group Data Mining and Machine Learning University of Vienna Austria Natural Language Processing Expert Center Data:Lab Volkswagen AG Munich Germany
Compared to standard Named Entity Recognition (NER), identifying persons, locations, and organizations in historical texts constitutes a big challenge. To obtain machine-readable corpora, the historical text is usuall... 详细信息
来源: 评论
SLSL-QPSO: Quantum-Behaved Particle Swarm Optimization with Short-Lived Swarm Layers
SSRN
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SSRN 2023年
作者: Liang, Kang Xiukai, Zhang Krakhmalev, Oleg Engineering Training and Innovation Education Center Shanghai Polytechnic University Shanghai201209 China School of Computer and Information Engineering Shanghai Polytechnic University Shanghai201209 China Department of Data Analysis and Machine Learning Financial University Under the Government of the Russian Federation 4th Veshnyakovsky Passage 4 Moscow109456 Russia
SLSL-QPSO is a software that can find the optimal value of a function. It improves over the QPSO algorithms by leveraging the concept of living and death as swarm layers, the Lévy mutation, the scoped contradicti... 详细信息
来源: 评论
Can Gaussian sketching converge faster on a preconditioned landscape?  24
Can Gaussian sketching converge faster on a preconditioned l...
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Proceedings of the 41st International Conference on machine learning
作者: Yilong Wang Haishan Ye Guang Dai Ivor W. Tsang Center for Intelligent Decision-Making and Machine Learning School of Management Xi'an Jiaotong University China and SGIT AI Lab State Grid Corporation of China SGIT AI Lab State Grid Corporation of China CFAR and IHPC Agency for Science Technology and Research (A*STAR) Singapore and College of Computing and Data Science NTU Singapore
This paper focuses on the large-scale optimization which is very popular in the big data era. The gradient sketching is an important technique in the large-scale optimization. Specifically, the random coordinate desce...
来源: 评论
Attention-Based Early Warning Framework for Abnormal Operating Conditions in Fluid Catalytic Cracking Units
SSRN
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SSRN 2023年
作者: Chenwei, Tang Huang, Jialiang Xu, Mao Liu, Xu Yang, Fan Feng, Wentao He, Zhenan Lv, Jiancheng College of Computer Science Sichuan University Chengdu610065 China Engineering Research Center of Machine Learning and Industry Intelligence Ministry of Education Chengdu610065 China Algorithm and Bigdata Center Chengdu610041 China Data Intelligence Lab New Hope Liuhe Co.Ltd Chengdu610000 China
As a critical processing technology in the oil refining industry, Fluid Catalytic Cracking Unit (FCCU) plays a significant role in energy efficiency and environmental protection. However, FCCU often experiences variou... 详细信息
来源: 评论