Bringing the Blessing of Dimensionality to the Edge
Conference item
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
| Authors | Tyukin, 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. |
| Keywords | stochastic separation theorems; supervised learning |
| Year | 2019 |
| Journal | 2019 1st International Conference on Industrial Artificial Intelligence (IAI) |
| International Conference on Industrial Artificial Intelligence (IAI) | |
| Publisher | IEEE |
| 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 | |
| ISBN | 9781728135939 |
| File | File Access Level Open |
| File | File Access Level Open |
| File | File Access Level Open |
| Publication dates | 30 Sep 2019 |
| Publication process dates | |
| Deposited | 22 Mar 2021, 14:17 |
| Accepted | 01 Jul 2019 |
| Rights | CC0 1.0 Universal |
| Contributors | University of Leicester and Lobachevsky University, Russia |
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