Standard

Early history of machine learning. / Fradkov, Alexander L.

In: IFAC-PapersOnLine, Vol. 53, No. 2, 2020, p. 1385-1390.

Research output: Contribution to journal › Conference article › peer-review

Harvard

Fradkov, AL 2020, 'Early history of machine learning', IFAC-PapersOnLine, vol. 53, no. 2, pp. 1385-1390. https://doi.org/10.1016/j.ifacol.2020.12.1888

APA

Fradkov, A. L. (2020). Early history of machine learning. IFAC-PapersOnLine, 53(2), 1385-1390. https://doi.org/10.1016/j.ifacol.2020.12.1888

Vancouver

Fradkov AL. Early history of machine learning. IFAC-PapersOnLine. 2020;53(2):1385-1390. https://doi.org/10.1016/j.ifacol.2020.12.1888

Author

Fradkov, Alexander L. / Early history of machine learning. In: IFAC-PapersOnLine. 2020 ; Vol. 53, No. 2. pp. 1385-1390.

BibTeX

@article{2d313e1173fa4ed8aefd5f41d88ea686,
title = "Early history of machine learning",
abstract = "Machine learning belongs to the crossroad of cybernetics (control science) and computer science. It is attracting recently an overwhelming interest, both of professionals and of the general public. In the talk a brief overview of the historical development of the machine learning field with a focus on the development of mathematical apparatus in its first decades is provided. A number of little-known facts published in hard to reach sources are presented.",
keywords = "Convex optimization, Machine learning, Neural networks, Separation theorems",
author = "Fradkov, {Alexander L.}",
note = "Publisher Copyright: Copyright {\textcopyright} 2020 The Authors. This is an open access article under the CC BY-NC-ND license; 21st IFAC World Congress 2020 ; Conference date: 12-07-2020 Through 17-07-2020",
year = "2020",
doi = "10.1016/j.ifacol.2020.12.1888",
language = "English",
volume = "53",
pages = "1385--1390",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",
number = "2",

}

RIS

TY - JOUR

T1 - Early history of machine learning

AU - Fradkov, Alexander L.

N1 - Publisher Copyright: Copyright © 2020 The Authors. This is an open access article under the CC BY-NC-ND license

PY - 2020

Y1 - 2020

N2 - Machine learning belongs to the crossroad of cybernetics (control science) and computer science. It is attracting recently an overwhelming interest, both of professionals and of the general public. In the talk a brief overview of the historical development of the machine learning field with a focus on the development of mathematical apparatus in its first decades is provided. A number of little-known facts published in hard to reach sources are presented.

AB - Machine learning belongs to the crossroad of cybernetics (control science) and computer science. It is attracting recently an overwhelming interest, both of professionals and of the general public. In the talk a brief overview of the historical development of the machine learning field with a focus on the development of mathematical apparatus in its first decades is provided. A number of little-known facts published in hard to reach sources are presented.

KW - Convex optimization

KW - Machine learning

KW - Neural networks

KW - Separation theorems

UR - http://www.scopus.com/inward/record.url?scp=85105072401&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2020.12.1888

DO - 10.1016/j.ifacol.2020.12.1888

M3 - Conference article

AN - SCOPUS:85105072401

VL - 53

SP - 1385

EP - 1390

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 2

T2 - 21st IFAC World Congress 2020

Y2 - 12 July 2020 through 17 July 2020

ER -

ID: 87328864