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A pattern recognition program that generates, evaluates, and adjusts its own operators

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Charles VosslerAuthors Info & Claims

IRE-AIEE-ACM '61 (Western): Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference

Pages 555 - 569

https://doi.org/10.1145/1460690.1460751

Published: 09 May 1961 Publication History

Abstract

This paper describes an attempt to make use of machine learning or self-organizing processes in the design of a pattern-recognition program. The program starts not only without any knowledge of specific patterns to be input, but also without any operators for processing inputs. Operators are generated and refined by the program itself as a function of the problem space and of its own successes and failures in dealing with the problem space. Not only does the program learn information about different patterns, it also learns or constructs, in part at least, a secondary code appropriate for the analysis of the particular set of patterns input to it.

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https://doi.org/10.1007/s13132-024-01974-1
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cover image ACM Conferences

IRE-AIEE-ACM '61 (Western): Papers presented at the May 9-11, 1961, western joint IRE-AIEE-ACM computer conference

May 1961

669 pages

ISBN:9781450378727

DOI:10.1145/1460690

Conference Chair:
Walter F. Bauer
Ramo-Wooldridge, Canoga Park, California

Copyright © 1961 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 May 1961

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Cited By

Jácome de Moura Pdos Santos Junior CPorto-Bellini CDias Junior J(2024)The Over-Concentration of Innovation and Firm-Specific Knowledge in the Artificial Intelligence IndustryJournal of the Knowledge Economy10.1007/s13132-024-01974-1Online publication date: 16-Apr-2024
https://doi.org/10.1007/s13132-024-01974-1
Shao ZZhao RYuan SDing MWang Y(2022)Tracing the evolution of AI in the past decade and forecasting the emerging trendsExpert Systems with Applications10.1016/j.eswa.2022.118221(118221)Online publication date: Jul-2022
https://doi.org/10.1016/j.eswa.2022.118221
Cope D(2021)Music, Artificial Intelligence and NeuroscienceHandbook of Artificial Intelligence for Music10.1007/978-3-030-72116-9_7(163-194)Online publication date: 3-Jul-2021
https://doi.org/10.1007/978-3-030-72116-9_7
Latimer C(2016)Search Time as a Function of Context Letter FrequencyPerception10.1068/p0100571:1(57-71)Online publication date: 25-Jun-2016
https://doi.org/10.1068/p010057
UHR L(2007)Increasing the Power of Connectionist Networks (CN) by Improving Structures, Processes, LearningConnection Science10.1080/095400990089156682:3(179-193)Online publication date: 24-Oct-2007
https://doi.org/10.1080/09540099008915668
Marill TGreen D(2006)On the effectiveness of receptors in recognition systemsIEEE Transactions on Information Theory10.1109/TIT.1963.10578109:1(11-17)Online publication date: 1-Sep-2006
https://dl.acm.org/doi/10.1109/TIT.1963.1057810
Sutton RWhitehead S(1993)Online Learning with Random RepresentationsMachine Learning Proceedings 199310.1016/B978-1-55860-307-3.50047-2(314-321)Online publication date: 1993
https://doi.org/10.1016/B978-1-55860-307-3.50047-2
Preston KBartels P(1988)Automated Image Processing for Cells and TissueProgress in Medical Imaging10.1007/978-1-4612-3866-9_1(1-121)Online publication date: 1988
https://doi.org/10.1007/978-1-4612-3866-9_1
Stentiford F(1985)Automatic Feature Design for Optical Character Recognition Using an Evolutionary Search ProcedureIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.1985.47676657:3(349-355)Online publication date: 1-Mar-1985
https://dl.acm.org/doi/10.1109/TPAMI.1985.4767665
Fabbri A(1985)Morphology and Probability in Image ProcessingData Analysis in Astronomy10.1007/978-1-4615-9433-8_44(509-522)Online publication date: 1985
https://doi.org/10.1007/978-1-4615-9433-8_44
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