Bringing the Blessing of Dimensionality to the Edge

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Tyukin, Ivan Y., Gorban, Alexander N, McEwan, Alistair and Meshkinfamfard, Sepehr 2019. Bringing the Blessing of Dimensionality to the Edge. IEEE. https://doi.org/10.1109/iciai.2019.8850825
AuthorsTyukin, Ivan Y., Gorban, Alexander N, McEwan, Alistair and Meshkinfamfard, Sepehr
Abstract

In this work we present a novel approach and algorithms for equipping Artificial Intelligence systems with capabilities to become better over time. A distinctive feature of the approach is that, in the supervised setting, the approaches' computational complexity is sub-linear in the number of training samples. This makes it particularly attractive in applications in which the computational power and memory are limited. The approach is based on the concentration of measure effects and stochastic separation theorems. The algorithms are illustrated with examples.

Keywordsstochastic separation theorems; supervised learning
Year2019
Journal2019 1st International Conference on Industrial Artificial Intelligence (IAI)
International Conference on Industrial Artificial Intelligence (IAI)
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/iciai.2019.8850825
Web address (URL)http://hdl.handle.net/10545/625662
http://creativecommons.org/publicdomain/zero/1.0/
hdl:10545/625662
ISBN9781728135939
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Publication dates30 Sep 2019
Publication process dates
Deposited22 Mar 2021, 14:17
Accepted01 Jul 2019
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CC0 1.0 Universal

ContributorsUniversity of Leicester and Lobachevsky University, Russia
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