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检索条件"主题词=distributed hypothesis testing"
39 条 记 录,以下是21-30 订阅
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On the Optimality of Binning for distributed hypothesis testing
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IEEE TRANSACTIONS ON INFORMATION THEORY 2012年 第10期58卷 6282-6303页
作者: Rahman, Md Saifur Wagner, Aaron B. Cornell Univ Sch Elect & Comp Engn Ithaca NY 14853 USA
We study a hypothesis testing problem in which data are compressed distributively and sent to a detector that seeks to decide between two possible distributions for the data. The aim is to characterize all achievable ... 详细信息
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Private Two-Terminal hypothesis testing
Private Two-Terminal Hypothesis Testing
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IEEE International Symposium on Information Theory (ISIT)
作者: Narayanan, Varun Mishra, Manoj Prabhakaran, Vinod M. Tata Inst Fundamental Res Mumbai Maharashtra India Homi Bhabha Natl Inst NISER Bhubaneswar India
We study private two-terminal hypothesis testing with simple hypotheses where the privacy goal is to ensure that participating in the testing protocol reveals little additional information about the other user's o... 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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New Results on testing Against Independence with Rate-Limited Constraints  7
New Results on Testing Against Independence with Rate-Limite...
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7th IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP)
作者: Espinosa, Sebastian Silva, Jorge F. Piantanida, Pablo Univ Chile Dept Elect Engn Santiago Chile Univ Paris Sud CNRS Cent Supelec Lab Signaux & Syst L2S Orsay France Univ Montreal Montreal Inst Learning Algorithms MILA Montreal PQ Canada
This work studies error exponent limits in hypothesis testing (HT) in a distributed scenario with partial communication constraints. We derive general conditions on the Type I error restriction under which the error e... 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
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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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Complexity of Bayesian Belief Exchange over a Network  56
Complexity of Bayesian Belief Exchange over a Network
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56th Annual IEEE Conference on Decision and Control (CDC)
作者: Rahimian, M. Amin Jadbabaie, Ali Mossel, Elchanan MIT IDSS 77 Massachusetts Ave Cambridge MA 02139 USA
Many important real-world decision making problems involve group interactions among individuals with purely informational externalities, such situations arise for example in jury deliberations, expert committees, medi... 详细信息
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Information Centrality and Ordering of Nodes for Accuracy in Noisy Decision-Making Networks
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IEEE TRANSACTIONS ON AUTOMATIC CONTROL 2016年 第4期61卷 1040-1045页
作者: Poulakakis, Ioannis Young, George F. Scardovi, Luca Leonard, Naomi Ehrich Univ Delaware Dept Mech Engn Newark DE 19711 USA Princeton Univ Dept Mech & Aerosp Engn Princeton NJ 08544 USA Univ Toronto Dept Elect & Comp Engn Toronto ON M5S 3G4 Canada
This technical note considers a network of stochastic evidence accumulators, each represented by a drift-diffusion model accruing evidence towards a decision in continuous time by observing a noisy signal and by excha... 详细信息
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distributed Estimation and Learning over Heterogeneous Networks
Distributed Estimation and Learning over Heterogeneous Netwo...
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54th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
作者: Rahimian, M. Amin Jadbabaie, Ali MIT Inst Data Syst & Soc 77 Massachusetts Ave Cambridge MA 02139 USA
We consider several estimation and learning problems that networked agents face when making decisions given their uncertainty about an unknown variable. Our methods are designed to efficiently deal with heterogeneity ... 详细信息
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Learning without Recall from Actions of Neighbors
Learning without Recall from Actions of Neighbors
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American Control Conference (ACC)
作者: Rahimian, M. Amin Jadbabaie, Ali Univ Penn Dept Elect & Syst Engn Philadelphia PA 19104 USA
Under the Bayesian without Recall ( BWR) model of inference, the agents behave rationally with respect to their most recent observations and yet they do not recall their history of past observations and cannot reason ... 详细信息
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