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检索条件"主题词=Inference Algorithms"
5383 条 记 录,以下是61-70 订阅
排序:
Adaptation Through Prediction: Multisensory Active inference Torque Control
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IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS 2023年 第1期15卷 32-41页
作者: Meo, Cristian Franzese, Giovanni Pezzato, Corrado Spahn, Max Lanillos, Pablo Delft Univ Technol Fac Mech Engn Dept Cognit Robot NL-2628 CD Delft Netherlands Radboud Univ Nijmegen Donders Inst Brain Cognit & Behav Dept Artificial Intelligence NL-6525 XZ Nijmegen Netherlands
Adaptation to external and internal changes is of major importance for robotic systems in uncertain environments. Here, we present a novel multisensory active inference (AIF) torque controller for industrial arms that... 详细信息
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Noncooperative Topology inference of Wireless Networks With Monitoring Sensors
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IEEE INTERNET OF THINGS JOURNAL 2023年 第21期10卷 19282-19295页
作者: Chen, Rui Chang, Lili Hui, Yilong Cheng, Nan Zhang, Wei Xidian Univ State Key Lab Integrated Serv Networks Xidian 710071 Peoples R China Univ New South Wales Sch Elect Engn & Telecommun Sydney NSW 2052 Australia
With the widespread application of wireless networks, the importance of intelligent analysis of network behaviors is becoming increasingly prominent. In the analysis of networks behaviors, learning and reasoning about... 详细信息
来源: 评论
A New Algorithm of Cubic Dynamic Uncertain Causality Graph for Speeding Up Temporal Causality inference in Fault Diagnosis
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IEEE TRANSACTIONS ON RELIABILITY 2023年 第2期72卷 662-677页
作者: Dong, Chunling Zhou, Jing Commun Univ China Sch Comp & Cyber Sci State Key Lab Media Convergence & Commun Beijing 100024 Peoples R China
Representing and reasoning uncertain causalities have diverse applications in fault diagnosis for industrial systems. Owing to the complicated dynamics and a multitude of uncertain factors in such systems, it is hard ... 详细信息
来源: 评论
SmartDeal: Remodeling Deep Network Weights for Efficient inference and Training
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2023年 第10期34卷 7099-7113页
作者: Chen, Xiaohan Zhao, Yang Wang, Yue Xu, Pengfei You, Haoran Li, Chaojian Fu, Yonggan Lin, Yingyan Wang, Zhangyang Univ Texas Austin Dept Elect & Comp Engn Austin TX 78712 USA Rice Univ Dept Elect & Comp Engn Houston TX 77005 USA
The record-breaking performance of deep neural networks (DNNs) comes with heavy parameter budgets, which leads to external dynamic random access memory (DRAM) for storage. The prohibitive energy of DRAM accesses makes... 详细信息
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Anti-Interference Recognition for Aerial Infrared Object Based on Convolutional Feature inference Network
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IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE 2023年 第2期38卷 4-15页
作者: Yang, Junyan Li, Chenhui Li, Shaoyi Zhang, Xuefeng Yang, Xi Sun, Yang Northwestern Polytech Univ Xian 710072 Peoples R China Xian Aeronaut Comp Tech Res Inst Xian 710065 Peoples R China China Airborne Missile Acad Luoyang 471009 Peoples R China Xian Aeronaut Comp Tech Res Inst Xian 710065 Peoples R China
The infrared decoy countermeasure technology develops along with the infrared imaging guidance technology. The release of infrared decoys can block the object and destroy the integrity of the object features. The trad... 详细信息
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Spatiotemporal Urban inference and Prediction in Sparse Mobile CrowdSensing: A Graph Neural Network Approach
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IEEE TRANSACTIONS ON MOBILE COMPUTING 2023年 第11期22卷 6784-6799页
作者: Wang, En Liu, Weiting Liu, Wenbin Yang, Yongjian Yang, Bo Wu, Jie Jilin Univ Dept Comp Sci & Technol Changchun 130012 Peoples R China Jilin Univ Key Lab Symbol Computat & Knowledge Engn Minist Educ Changchun 130012 Peoples R China Temple Univ Dept Comp & Informat Sci Philadelphia PA 19122 USA
Mobile CrowdSensing (MCS) has recently become a promising data acquisition paradigm, which recruits a large number of users to collect data from the target sensing areas. Obviously, with the increase of sensing scale ... 详细信息
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Resource Allocation for Multiuser Edge inference With Batching and Early Exiting
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IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS 2023年 第4期41卷 1186-1200页
作者: Liu, Zhiyan Lan, Qiao Huang, Kaibin Univ Hong Kong Dept Elect & Elect Engn Hong Kong Peoples R China
The deployment of inference services at the network edge, called edge inference, offloads computation-intensive inference tasks from mobile devices to edge servers, thereby enhancing the former's capabilities and ... 详细信息
来源: 评论
Bayesian inference for Stochastic Multipath Radio Channel Models
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IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION 2023年 第4期71卷 3460-3472页
作者: Hirsch, Christian Bharti, Ayush Pedersen, Troels Waagepetersen, Rasmus Aarhus Univ Dept Math DK-8000 Aarhus Denmark Aalto Univ Dept Comp Sci Espoo 02150 Finland Aalborg Univ Dept Elect Syst DK-9220 Aalborg Denmark Aalborg Univ Dept Math Sci DK-9220 Aalborg Denmark
Stochastic radio channel models based on underlying point processes of multipath components (MPCs) have been studied intensively since the seminal papers of Turin and Saleh-Valenzuela (SV). Despite this, inference reg... 详细信息
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CoGNN: An Algorithm-Hardware Co-Design Approach to Accelerate GNN inference With Minibatch Sampling
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IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS 2023年 第12期42卷 4883-4896页
作者: Zhong, Kai Zeng, Shulin Hou, Wentao Dai, Guohao Zhu, Zhenhua Zhang, Xuecang Xiao, Shihai Yang, Huazhong Wang, Yu Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Univ Wisconsin Comp Sci Dept Madison WI USA Shanghai Jiao Tong Univ Qing Yuan Res Inst Shanghai 200240 Peoples R China Huawei Technol Co Ltd 2012 Lab Shenzhen 518063 Peoples R China
As a new algorithm of graph embedding, graph neural networks (GNNs) have been widely used in many fields. However, GNN computing has the characteristics of both sparse graph processing and dense neural network, which ... 详细信息
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Large Deviations for Products of Non-Identically Distributed Network Matrices With Applications to Communication-Efficient Distributed Learning and inference
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2023年 71卷 1319-1333页
作者: Petrovic, Nemanja Bajovic, Dragana Kar, Soummya Jakovetic, Dusan Sahu, Anit Kumar Univ Novi Sad Fac Tech Sci Dept Fundamental Sci Novi Sad 21000 Serbia Univ Novi Sad Fac Tech Sci Dept Power Elect & Commun Engn Novi Sad 21000 Serbia Carnegie Mellon Univ Dept Elect & Comp Engn Pittsburgh PA 15213 USA Univ Novi Sad Fac Sci Dept Math & Informat Novi Sad 21000 Serbia Amazon Com Inc Alexa AI Pittsburgh PA 15232 USA
This paper studies products of independent but non-identically distributed random network matrices that arise as weight matrices in distributed consensus-type computation and inference procedures in peer-to-peer multi... 详细信息
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