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检索条件"主题词=distributed hypothesis testing"
39 条 记 录,以下是11-20 订阅
排序:
Multi-Hop Network With Multiple Decision Centers Under Expected-Rate Constraints
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IEEE TRANSACTIONS ON INFORMATION THEORY 2023年 第7期69卷 4255-4283页
作者: Hamad, Mustapha Wigger, Michele Sarkiss, Mireille Inst Polytech Paris LTCI Telecom Paris F-91120 Palaiseau France Paris Res Ctr Huawei Math & Algorithm Sci Lab F-92100 Boulogne Billancourt France Inst Polytech Paris SAMOVAR Telecom Sud Paris F-91120 Palaiseau France
We consider a multi-hop distributed hypothesis testing problem with multiple decision centers (DCs) for testing against independence and where the observations obey some Markov chain. For this system, we characterize ... 详细信息
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Evolution of distributed detection performance over balanced binary relay tree networks with bit errors
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NONLINEAR DYNAMICS 2022年 第4期107卷 3903-3917页
作者: Tian, Yu-Ping Zhu, Wenbo Hangzhou Dianzi Univ Sch Automat Hangzhou 310018 Peoples R China Southeast Univ Sch Automat Nanjing 210096 Peoples R China
Target detection based on wireless sensor networks can be considered as a distributed binary hypothesis testing problem. In this paper, the evolution of detection error probability with the increase in the network sca... 详细信息
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On hypothesis testing Against Conditional Independence With Multiple Decision Centers
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IEEE TRANSACTIONS ON COMMUNICATIONS 2018年 第6期66卷 2409-2420页
作者: Salehkalaibar, Sadaf Wigger, Michele Timo, Roy Univ Tehran Dept Elect & Comp Engn Coll Engn Tehran *** Iran Univ Paris Saclay LTCI Telecom ParisTech F-75013 Paris France Ericsson Res S-16483 Stockholm Sweden
A distributed binary hypothesis testing problem is studied with one observer and two decision centers. Achievable type-II error exponents are derived for testing against conditional independence when the observer comm... 详细信息
来源: 评论
distributed Learning Over Networks: Effect of Using Historical Observations
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2020年 第12期65卷 5503-5509页
作者: Shi, Chong-Xiao Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Northeastern Univ Minist Educ Key Lab Integrated Automat Proc Ind Shenyang 110819 Peoples R China
This article investigates the problem of distributed hypothesis testing over networks. By introducing double and triple cumulations of historical observations, two novel distributed learning algorithms are developed t... 详细信息
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distributed Inference With Sparse and Quantized Communication
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2021年 69卷 3906-3921页
作者: Mitra, Aritra Richards, John Bagchi, Saurabh Sundaram, Shreyas Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Sandia Natl Labs Albuquerque NM 87123 USA
We consider the problem of distributed inference where agents in a network observe a stream of private signals generated by an unknown state, and aim to uniquely identify this state from a finite set of hypotheses. We... 详细信息
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Bayesian Learning Without Recall
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IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS 2017年 第3期3卷 592-606页
作者: Rahimian, M. Amin Jadbabaie, Ali Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA MIT Inst Data Syst & Soc Cambridge MA 02139 USA
We analyze a model of learning and belief formation in networks in which agents follow Bayes rule yet they do not recall their history of past observations and cannot reason about how other agents' beliefs are for... 详细信息
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Social Opinion Formation and Decision Making Under Communication Trends
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2024年 72卷 506-520页
作者: Kayaalp, Mert Bordignon, Virginia Sayed, Ali H. Ecole Polytech Fed Lausanne Adapt Syst Lab CH-1015 Lausanne Switzerland
This work studies the learning process over social networks under partial and random information sharing. In traditional social learning models, agents exchange full belief information with each other while trying to ... 详细信息
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Online Design of Optimal Precoders for High Dimensional Signal Detection
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IEEE TRANSACTIONS ON SIGNAL PROCESSING 2019年 第15期67卷 4122-4135页
作者: Khanduri, Prashant Theagarajan, Lakshmi Narasimhan Varshney, Pramod K. Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA Indian Inst Technol Palakkad Dept Elect Engn Kozhippara 678557 Kerala India
In this paper, we propose a novel methodology to design optimal precoders for distributed detection of high-dimensional signals. We consider a wireless sensor network (WSN) that consists of multiple sensors that are s... 详细信息
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Decision fusion approach for multitemporal classification
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 1999年 第3期37卷 1227-1233页
作者: Jeon, B Landgrebe, DA Sungkyunkwan Univ Sch Elect & Comp Engn Suwon South Korea Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA
This paper proposes two decision fusion-based multitemporal classifiers, namely, the jointly likelihood and the weighted majority fusion classifiers, that are derived using two different definitions of the minimum exp... 详细信息
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On distributed Learning With Constant Communication Bits
IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY
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IEEE JOURNAL ON SELECTED AREAS IN INFORMATION THEORY 2022年 第1期3卷 125-134页
作者: Xu, Xiangxiang Huang, Shao-Lun Tsinghua Berkeley Shenzhen Inst Data Sci & Informat Technol Res Ctr Shenzhen 518055 Peoples R China
In this paper, we study a distributed learning problem constrained by constant communication bits. Specifically, we consider the distributed hypothesis testing (DHT) problem where two distributed nodes are constrained... 详细信息
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