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检索条件"机构=Research Center of Machine Learning and Data Analysis"
298 条 记 录,以下是91-100 订阅
排序:
Marine Predators Algorithm for Energy Scheduling Problem Using Renewable Energy
Marine Predators Algorithm for Energy Scheduling Problem Usi...
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Cyber Resilience (ICCR), International Conference on
作者: Sharif Naser Makhadmeh Ammar Kamal Abasi Mohammed Azmi Al-Betar Department of Data Science and Artificial Intelligence University of Petra Amman Jordan Machine Learning Department Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI) Abu Dhabi United Arab Emirates Artificial Intelligence Research Center (AIRC) Ajman University Ajman United Arab Emirates
The Energy Scheduling Problem (ESP) involves scheduling smart home appliances based on electricity pricing schemes. This entails adjusting the timing of operations for these appliances across different periods. The pr... 详细信息
来源: 评论
BIM: Improving Graph Neural Networks with Balanced Influence Maximization
BIM: Improving Graph Neural Networks with Balanced Influence...
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International Conference on data Engineering
作者: Wentao Zhang Xinyi Gao Ling Yang Meng Cao Ping Huang Jiulong Shan Hongzhi Yin Bin Cui Center for Machine Learning Research Peking University Institute of Advanced Algorithms Research Shanghai National Engineering Labratory for Big Data Analytics and Applications The University of Queensland Australia Key Lab of High Confidence Software Technologies Peking University Apple Inc. Institute of Computational Social Science Peking University Qingdao
The imbalanced data classification problem has aroused lots of concerns from both academia and industry since data imbalance is a widespread phenomenon in many real-world scenarios. Although this problem has been well... 详细信息
来源: 评论
Enhancing Predictive Imaging Biomarker Discovery Through Treatment Effect analysis
Enhancing Predictive Imaging Biomarker Discovery Through Tre...
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IEEE Workshop on Applications of Computer Vision (WACV)
作者: Shuhan Xiao Lukas Klein Jens Petersen Philipp Vollmuth Paul F. Jaeger Klaus H. Maier-Hein German Cancer Research Center (DKFZ) Heidelberg Division of Medical Image Computing Germany Faculty of Mathematics and Computer Science Heidelberg University Germany DKFZ Heidelberg Interactive Machine Learning Group Germany Institute for Machine Learning ETH Zürich Switzerland DKFZ Heidelberg Helmholtz Imaging Germany Division for Computational Radiology Clinical AI (CCIBonn.ai) Clinic for Neuroradiology University Hospital Bonn Germany Medical Faculty Bonn University of Bonn Germany Department of Radiation Oncology Pattern Analysis and Learning Group Heidelberg University Hospital Germany
Identifying predictive covariates, which forecast individual treatment effectiveness, is crucial for decision-making across different disciplines such as personalized medicine. These covariates, referred to as biomark... 详细信息
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Improving generative model-based unfolding with Schrödinger bridges
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Physical Review D 2024年 第7期109卷 076011-076011页
作者: Sascha Diefenbacher Guan-Horng Liu Vinicius Mikuni Benjamin Nachman Weili Nie Physics Division Lawrence Berkeley National Laboratory Berkeley California 94720 USA Autonomous Control and Decision Systems Laboratory Georgia Institute of Technology Atlanta Georgia 30332 USA National Energy Research Scientific Computing Center Berkeley Lab Berkeley California 94720 USA Berkeley Institute for Data Science University of California Berkeley California 94720 USA Machine Learning Research Group NVIDIA Research
machine learning-based unfolding has enabled unbinned and high-dimensional differential cross section measurements. Two main approaches have emerged in this research area; one based on discriminative models and one ba... 详细信息
来源: 评论
Double variance reduction: a smoothing trick for composite optimization problems without first-order gradient  24
Double variance reduction: a smoothing trick for composite o...
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Proceedings of the 41st International Conference on machine learning
作者: Hao Di Haishan Ye Yueling Zhang Xiangyu Chang 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 International Business School Beijing Foreign Studies University Beijing China Center for Intelligent Decision-Making and Machine Learning School of Management Xi'an Jiaotong University 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
Variance reduction techniques are designed to decrease the sampling variance, thereby accelerating convergence rates of first-order (FO) and zeroth-order (ZO) optimization methods. However, in composite optimization p...
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ReInform: Selecting paths with reinforcement learning for contextualized link prediction
arXiv
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arXiv 2022年
作者: Speranskaya, Marina Methias, Sameh Roth, Benjamin Center for Information and Language Processing LMU Munich Germany Technical University of Munich Munich Germany Research Group Data Mining and Machine Learning University of Vienna Vienna Austria
We propose to use reinforcement learning to inform transformer-based contextualized link prediction models by providing paths that are most useful for predicting the correct answer. This is in contrast to previous app... 详细信息
来源: 评论
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
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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
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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 ...
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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