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Learning machine learning

Published: 20 November 2018 Publication History

Abstract

A discussion of the rapidly evolving realm of machine learning.

References

[1]
Cybenko, G. Approximation by superpositions of a Sigmoid function. Math. Control Signals Systems 2, (1989), 303--314.
[2]
Hopfield, J. and Tank, D. Neural computation of decisions in optimization problems. Biological Cybernetics 52 (1985), 141--152.
[3]
Hornik, K., Stinchcombe, M., and White, H. Multilayer feedforward networks are universal approximators. Neural Networks 3, 2 (1989), 359--366.
[4]
McCulloch, W.S. and Pitts, W. A logical calculus of the ideas immanent in nervous activity. Bulletin of Mathematical Biophysics 5, 115 (1943)
[5]
Minsky, M. and Papert, S. Perceptrons. MIT Press, 1969.

Cited By

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  • (2023)The Impact of Intelligent Systems on Management AccountingInternational Journal of Intelligent Information Technologies10.4018/IJIIT.32460119:1(1-32)Online publication date: 21-Jun-2023
  • (2023)Application of mechanical product design parameter optimization based on machine learning in identificationProduction Planning & Control10.1080/09537287.2022.2160388(1-15)Online publication date: 18-Jan-2023
  • (2022)Indoor Air Quality Control Using Backpropagated Neural NetworksComputers, Materials & Continua10.32604/cmc.2022.02049170:2(3837-3853)Online publication date: 2022
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  1. Learning machine learning

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    Published In

    cover image Communications of the ACM
    Communications of the ACM  Volume 61, Issue 12
    December 2018
    104 pages
    ISSN:0001-0782
    EISSN:1557-7317
    DOI:10.1145/3293542
    Issue’s Table of Contents
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 20 November 2018
    Published in CACM Volume 61, Issue 12

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    Cited By

    View all
    • (2023)The Impact of Intelligent Systems on Management AccountingInternational Journal of Intelligent Information Technologies10.4018/IJIIT.32460119:1(1-32)Online publication date: 21-Jun-2023
    • (2023)Application of mechanical product design parameter optimization based on machine learning in identificationProduction Planning & Control10.1080/09537287.2022.2160388(1-15)Online publication date: 18-Jan-2023
    • (2022)Indoor Air Quality Control Using Backpropagated Neural NetworksComputers, Materials & Continua10.32604/cmc.2022.02049170:2(3837-3853)Online publication date: 2022
    • (2020)Learning machine learning with very young childrenInternational Journal of Child-Computer Interaction10.1016/j.ijcci.2020.10018225:COnline publication date: 1-Sep-2020
    • (2020)A strategic framework for artificial intelligence in marketingJournal of the Academy of Marketing Science10.1007/s11747-020-00749-9Online publication date: 4-Nov-2020
    • (2020)High Performance Computing for Geospatial Applications: A Prospective ViewHigh Performance Computing for Geospatial Applications10.1007/978-3-030-47998-5_15(271-284)Online publication date: 21-Jul-2020
    • (2019)Converging Security Threats and Attacks Insinuation in Multidisciplinary Machine Learning Applications: A Survey2019 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)10.1109/ISRITI48646.2019.9034665(217-222)Online publication date: Dec-2019

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