Indextron

Alexei Mikhailov; Mikhail Karavay

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Paper

Indextron

Topics: Data Mining and Algorithms for Big Data; Machine Learning Methods

In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods ICPRAM - Volume 1, 143-149, 2021

Authors: Alexei Mikhailov and Mikhail Karavay

Affiliation: Institute of Control Problems, Russian Acad. of Sciences, Profsoyuznaya Street, 65, Moscow, Russia

Keyword(s): Pattern Recognition, Machine Learning, Neural Networks, Inverse Sets, Inverse Patterns, Multidimensional Indexing.

Abstract: How to do pattern recognition without artificial neural networks, Bayesian classifiers, vector support machines and other mechanisms that are widely used for machine learning? The problem with pattern recognition machines is time and energy demanding training because lots of coefficients need to be worked out. The paper introduces an indexing model that performs training by memorizing inverse patterns mostly avoiding any calculations. The computational experiments indicate the potential of the indexing model for artificial intelligence applications and, possibly, its relevance to neurobiological studies as well.

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Paper citation in several formats:

Mikhailov, A. and Karavay, M. (2021). Indextron. In Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-486-2; ISSN 2184-4313, SciTePress, pages 143-149. DOI: 10.5220/0010180301430149

@conference{icpram21,
author={Alexei Mikhailov. and Mikhail Karavay.},
title={Indextron},
booktitle={Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2021},
pages={143-149},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010180301430149},
isbn={978-989-758-486-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Indextron
SN - 978-989-758-486-2
IS - 2184-4313
AU - Mikhailov, A.
AU - Karavay, M.
PY - 2021
SP - 143
EP - 149
DO - 10.5220/0010180301430149
PB - SciTePress