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Published in 2017 at "Acta Applicandae Mathematicae"
DOI: 10.1007/s10440-017-0112-7
Abstract: Given a sequence of data {yn}n∈Z$\{ y_{n} \} _{n \in \mathbb{Z}}$ with polynomial growth and an odd number d$d$, Schoenberg proved that there exists a unique cardinal spline f$f$ of degree d$d$ with polynomial growth…
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Keywords:
cardinal splines;
average interpolation;
weighted average;
interpolation cardinal ... See more keywords
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Published in 2020 at "International journal of antimicrobial agents"
DOI: 10.1016/j.ijantimicag.2020.105972
Abstract: Vancomycin, administered by continuous infusion, (VCI) is used to treat serious gram positive infections in outpatients. We retrospectively investigated the rate of nephrotoxicity and associated risk factors in outpatients on VCI between May 2013 and…
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Keywords:
infusion;
weighted average;
serum creatinine;
vancomycin concentration ... See more keywords
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Published in 2019 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2019.04.004
Abstract: This paper considers estimation and inference for a weighted average derivative (WAD) of a nonparametric quantile instrumental variables regression (NPQIV). NPQIV is a non-separable and nonlinear ill-posed inverse problem, which might be why there is…
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Keywords:
penalized sieve;
gel weighted;
nonparametric quantile;
gel ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.03.004
Abstract: In this paper, the distributed state estimation (DSE) problem for a class of discrete-time nonlinear systems over sensor networks is investigated. First, based on weighted average consensus, a new DSE algorithm named distributed cubature information…
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Keywords:
cubature information;
based weighted;
consensus;
weighted average ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.11.066
Abstract: Recurrent Neural Networks (RNN) are a type of statistical model designed to handle sequential data. The model reads a sequence one symbol at a time. Each symbol is processed based on information collected from the…
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Keywords:
machine learning;
recurrent weighted;
sequential data;
weighted average ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3234120
Abstract: The cross-ratio (CR)-based method exploits the invariance property of CRs in projective transformation to determine a screen point corresponding to the pupil center. However, this point is essentially the intersection of the eyeball optical axis…
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Keywords:
pupil;
screen;
weighted average;
center ... See more keywords
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Published in 2023 at "IEEE Transactions on Network Science and Engineering"
DOI: 10.1109/tnse.2022.3206243
Abstract: Federated learning allows a large number of participants to collaboratively train a global model without sharing participant's local data. Participants train local models with their local data and send gradients to the cloud server for…
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Keywords:
aggregation;
federated learning;
weighted average;
secure federated ... See more keywords
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Published in 2021 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2021.3053150
Abstract: The multiprocessor system on chips (MPSoCs) are considered today the core of most modern systems. Most of the applications of these heterogeneous MPSoCs include critical systems and hence terms of fault tolerance and reliability have…
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Keywords:
fault tolerant;
fault;
average makespan;
weighted average ... See more keywords
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Published in 2021 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2020.3044960
Abstract: As a fundamental algorithm for collaborative processing over multi-agent systems, distributed consensus algorithm has been studied for optimizing its convergence rate. Due to the close analogy between the diffusion problem and the consensus algorithm, the…
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Keywords:
ctc;
consensus;
diffusion;
consensus algorithm ... See more keywords
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Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2020.2966015
Abstract: Recent studies have examined minimum cost consensus models from the moderator’s perspective. However, current dual models aimed at deriving a maximum return have been limited to special cases. A further problem has been the return…
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Keywords:
dual models;
consensus models;
weighted average;
models return ... See more keywords