About: On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	This paper addresses the problem of evolutionary design of classifiers for the recognition of handwritten digit symbols by means of Cartesian Genetic Programming. Two different design scenarios are investigated - the design of multiple-output classifier, and design of multiple binary classifiers. The goal is to evolve classification algorithms that employ substantially smaller amount of operations in contrast with conventional approaches such as Support Vector Machines. Even if the evolved classifiers do not reach the accuracy of the tuned SVM classifier, it will be shown that the accuracy is higher than 93% and the number of required operations is a magnitude lower. This paper addresses the problem of evolutionary design of classifiers for the recognition of handwritten digit symbols by means of Cartesian Genetic Programming. Two different design scenarios are investigated - the design of multiple-output classifier, and design of multiple binary classifiers. The goal is to evolve classification algorithms that employ substantially smaller amount of operations in contrast with conventional approaches such as Support Vector Machines. Even if the evolved classifiers do not reach the accuracy of the tuned SVM classifier, it will be shown that the accuracy is higher than 93% and the number of required operations is a magnitude lower. (en)
Title	On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems (en)
skos:prefLabel	On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems On Evolution of Multi-Category Pattern Classifiers Suitable for Embedded Systems (en)
skos:notation	RIV/00216305:26230/14:PU111919!RIV15-GA0-26230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GA14-04197S)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Vašíček, Zdeněk Bidlo, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	34275
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/14:PU111919
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	cartesian genetic programming, pattern classifier, handwritten digit recognition (en)
http://linked.open.../riv/klicoveSlovo	handwritten digit recognition pattern classifier cartesian genetic programming
http://linked.open...ontrolniKodProRIV	[30A0339AA465]
http://linked.open...v/mistoKonaniAkce	Granada
http://linked.open...i/riv/mistoVydani	Berlin
http://linked.open...i/riv/nazevZdroje	Genetic Programming, 17th European Conference, EuroGP 2014
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced Methods for Evolutionary Design of Complex Digital Circuits
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Vašíček, Zdeněk Bidlo, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-04-23 (xsd:date)
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Springer-Verlag
https://schema.org/isbn	978-3-662-44302-6
http://localhost/t...ganizacniJednotka	26230

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