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检索条件"主题词=Expectation Maximization Algorithm"
643 条 记 录,以下是421-430 订阅
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Learning Staged Trees from Incomplete Data  12
Learning Staged Trees from Incomplete Data
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12th International Conference on Probabilistic Graphical Models, PGM 2024
作者: Carter, Jack Storror Leonelli, Manuele Riccomagno, Eva Varando, Gherardo Dipartimento di Matematica Università degli Studi di Genova Genova Italy School of Science and Technology IE University Madrid Spain Image Processing Laboratory Universitat de València València Spain
Staged trees are probabilistic graphical models capable of representing any class of non-symmetric independence via a coloring of their vertices. Several structural learning routines have been defined and implemented ... 详细信息
来源: 评论
SimPro: A Simple Probabilistic Framework Towards Realistic Long-Tailed Semi-Supervised Learning  41
SimPro: A Simple Probabilistic Framework Towards Realistic L...
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41st International Conference on Machine Learning, ICML 2024
作者: Du, Chaoqun Han, Yizeng Huang, Gao Department of Automation BNRist Tsinghua University Beijing China
Recent advancements in semi-supervised learning have focused on a more realistic yet challenging task: addressing imbalances in labeled data while the class distribution of unlabeled data remains both unknown and pote... 详细信息
来源: 评论
Lunar Surface Target Detection Based on Improved YOLOv8  5
Lunar Surface Target Detection Based on Improved YOLOv8
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5th International Conference on Intelligent Computing and Human-Computer Interaction, ICHCI 2024
作者: Yang, Yu Wang, Zhen-Wei Zhao, Han Zhang, Zi-Yu School of Astronautics and Aeronautics University of Electronic Science & Technology of China Chengdu611731 China
In lunar exploration and research, the accurate identification and localization of lunar surface features is of great scientific significance and application value. However, target detection in lunar surface images fa... 详细信息
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DeepCensored: Deep-Learning Based Probabilistic Forecasting Framework for Censored Data  23
DeepCensored: Deep-Learning Based Probabilistic Forecasting ...
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23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024
作者: Tian, Jiahao Porter, Michael D. School of Data Science University of Virginia CharlottesvilleVA United States School of Data Science University of Virginia Dept. of Systems and Information Engineering CharlottesvilleVA United States
Accurate time series forecasting is critical in various fields, including resource allocation and crime prevention. While traditional approaches often focus on continuous data, count data forecasting, especially with ... 详细信息
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Graph Neural Networks with a Distribution of Parametrized Graphs  41
Graph Neural Networks with a Distribution of Parametrized Gr...
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41st International Conference on Machine Learning, ICML 2024
作者: Lee, See Hian Ji, Feng Xia, Kelin Tay, Wee Peng School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Physical and Mathematical Sciences Nanyang Technological University Singapore
Traditionally, graph neural networks have been trained using a single observed graph. However, the observed graph represents only one possible realization. In many applications, the graph may encounter uncertainties, ... 详细信息
来源: 评论
How to Design a R-D Model for UAV Video Transmission?  15
How to Design a R-D Model for UAV Video Transmission?
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15th IEEE International Conference on Wireless Communications and Signal Processing, WCSP 2023
作者: Yu, Zongyang Yang, Peng Cao, Xianbin Zheng, Dezhi Quek, Tony Q. S. Oliver Wu, Dapeng Beihang University School of Electronic Information Engineering Beijing China Peng Cheng Laboratory Department of Mathematics and Theories Shenzhen China Beijing Institute of Technology Advanced Research Institute of Multidisciplinary Sciences Beijing China Singapore University of Technology and Design Information Systems Technology and Design Singapore City University of Hong Kong Department of Computer Science Kowloon Hong Kong
Unmanned aerial vehicle (UAV) video transmission has been extensively applied in many crucial fields. However, the problem of designing a rate-distortion (R-D) model for UAV video transmission, which is essential for ... 详细信息
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Centralized Selection with Preferences in the Presence of Biases  41
Centralized Selection with Preferences in the Presence of Bi...
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41st International Conference on Machine Learning, ICML 2024
作者: Elisa Celis, L. Kumar, Amit Vishnoi, Nisheeth K. Xu, Andrew Yale University United States IIT Delhi India
This paper considers the scenario in which there are multiple institutions, each with a limited capacity for candidates, and candidates, each with preferences over the institutions. A central entity evaluates the util... 详细信息
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Parameter Estimation in DAGs from Incomplete Data via Optimal Transport  41
Parameter Estimation in DAGs from Incomplete Data via Optima...
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41st International Conference on Machine Learning, ICML 2024
作者: Vo, Vy Le, Trung Vuong, Tung-Long Zhao, He Bonilla, Edwin V. Phung, Dinh Monash University Australia CSIRO's Data61 Australia VinAI Research Viet Nam
Estimating the parameters of a probabilistic directed graphical model from incomplete data is a long-standing challenge. This is because, in the presence of latent variables, both the likelihood function and posterior... 详细信息
来源: 评论
Safety Analysis of China's Strategic Material Maritime Transport Channel Based on Bayesian Network  14
Safety Analysis of China's Strategic Material Maritime Trans...
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14th International Conference on Information Science and Technology, ICIST 2024
作者: Chen, Xue Wang, Xin Yu, Qing Feng, Lingling Zheng, Yuping College of Navigation Dalian Maritime University Liaoning China College of Navigation Jimei Maritime University Fujian China China Institute of Marine Technology and Economy Beijing China China Waterborne Transport Research Institute Beijing China
Aiming at the influence of the maritime transport channel environment on the safety of maritime transport of strategic materials in China, a safety environment assessment model of the maritime transport channel based ... 详细信息
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Energy Efficiency in 5G Networks Using Gaussian Mixture Models
Energy Efficiency in 5G Networks Using Gaussian Mixture Mode...
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2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 2024
作者: Alsalami, Zaid Kasthuri, R. Sowmiya, S. Rani, Pooja Gupta, Deepak Kumar Gowtham Kumar Reddy, I.V. The Islamic University College Of Technical Engineering Department Of Computers Techniques Engineering Najaf Iraq The Islamic University Of Al Diwaniyah College Of Technical Engineering Department Of Computers Techniques Engineering Al Diwaniyah Iraq Sri Ramakrishna Engineering College Department of Mathematics Tamilnadu Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Chandigarh Group of Colleges Chandigarh Engineering College Department of Computer Science Engineering Punjab Mohali140307 India Ies College of Technology Department of Electronics & Communication Engineering M.P. Bhopal India Saveetha Institute of Medical and Technical Sciences Department of CSE-AI Tamilnadu Chennai India
In this research, a new approach for improving energy efficiency of the networks in the 5G context is presented: utilizing the Gaussian Mixture Models. The process includes acquiring data in the first step, training t... 详细信息
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