Articles with "distributed gaussian" as a keyword



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Distributed Gaussian orbitals for molecular calculations: application to simple systems

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Published in 2019 at "Molecular Physics"

DOI: 10.1080/00268976.2019.1615646

Abstract: ABSTRACT In this article, the possible use of sets of basis functions alternative with respect to the usual atom-centred orbitals sets is considered. The orbitals describing the inner part of the wavefunction (i.e. the region… read more here.

Keywords: gaussian orbitals; calculations application; molecular calculations; distributed gaussian ... See more keywords

Distributed Gaussian Processes With Uncertain Inputs

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3501409

Abstract: Gaussian Process regression is a powerful non-parametric approach that facilitates probabilistic uncertainty quantification in machine learning. Distributed Gaussian Process (DGP) methods offer scalable solutions by dividing data among multiple GP models (or “experts”). DGPs have… read more here.

Keywords: processes uncertain; distributed gaussian; gaussian process; uncertain inputs ... See more keywords

Coded Distributed Gaussian Process Regression

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Published in 2023 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3208969

Abstract: In this letter, we propose a coded load balancing method for distributed Gaussian process regression over heterogeneous wireless networks, where users with diverse computational and communications capabilities may offload excessive training data onto a computationally… read more here.

Keywords: coded distributed; distributed gaussian; process regression; gaussian process ... See more keywords

Direct Target Tracking by Distributed Gaussian Particle Filtering for Heterogeneous Networks

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Published in 2020 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2020.2971449

Abstract: In this article, we consider the distributed direct target tracking using the received radio signal by exploiting time delay and Doppler for heterogeneous wireless sensor networks. We develop herein a distributed Gaussian particle filtering (D-GPF)… read more here.

Keywords: gaussian particle; distributed gaussian; heterogeneous networks; particle ... See more keywords