About: Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition Goto Sponge NotDistinct Permalink

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

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.sciencedirect.com/science/article/pii/S092523121301103X#
Description	The human opinion formation can be understood as a social approach to optimization. In the real world, the opinions on different issues encode a “candidate solution”, which is evaluated by a complex and unknown fitness function. The computer models of such processes can be easily modified by introducing a fitness value, which leads to novel family of optimization techniques. This paper demonstrates how the novel algorithms can be derived from opinion formation models and empirically demonstrates their usability in the area of binary optimization. Particularly, it introduces a general SITO algorithmic framework and describes four algorithms based on this general framework. Recent applications of these algorithms to pattern recognition in electronic nose, electronic tongue, new born EEG and ICU patient mortality prediction are discussed. Finally, an open source SITO library for MATLAB and JAVA is introduced. The human opinion formation can be understood as a social approach to optimization. In the real world, the opinions on different issues encode a “candidate solution”, which is evaluated by a complex and unknown fitness function. The computer models of such processes can be easily modified by introducing a fitness value, which leads to novel family of optimization techniques. This paper demonstrates how the novel algorithms can be derived from opinion formation models and empirically demonstrates their usability in the area of binary optimization. Particularly, it introduces a general SITO algorithmic framework and describes four algorithms based on this general framework. Recent applications of these algorithms to pattern recognition in electronic nose, electronic tongue, new born EEG and ICU patient mortality prediction are discussed. Finally, an open source SITO library for MATLAB and JAVA is introduced. (en)
Title	Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition (en)
skos:prefLabel	Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition Binary Social Impact Theory based Optimization and Its Applications in Pattern Recognition (en)
skos:notation	RIV/68407700:21230/14:00213845!RIV15-GA0-21230___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(GP13-21696P)
http://linked.open...iv/cisloPeriodika	0
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Lhotská, Lenka Kužílek, Jakub Gerla, Václav Macaš, Martin
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	5280
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00213845
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Optimization; Feature Selection; Swarm; Social Impact Optimization (en)
http://linked.open.../riv/klicoveSlovo	Feature Selection Optimization Social Impact Optimization Swarm
http://linked.open...odStatuVydavatele	NL - Nizozemsko
http://linked.open...ontrolniKodProRIV	[9BC753B5E16F]
http://linked.open...i/riv/nazevZdroje	Neurocomputing
http://linked.open...in/vavai/riv/obor	JC
http://linked.open...ichTvurcuVysledku	4 (xsd:int)
http://linked.open...cetTvurcuVysledku	8 (xsd:int)
http://linked.open...vavai/riv/projekt	Selekce příznaků pro modely vícedimenzionálních časových řad uvažující časový kontext
http://linked.open...UplatneniVysledku	2014
http://linked.open...v/svazekPeriodika	132
http://linked.open...iv/tvurceVysledku	Kužílek, Jakub Lhotská, Lenka Gerla, Václav Kumar, R. Macaš, Martin Bhonerkar, A. M. Kapur, P. Kaur, R.
http://linked.open...ain/vavai/riv/wos	000334480500009
issn	0925-2312
number of pages	12 (xsd:int)
http://bibframe.org/vocab/doi	10.1016/j.neucom.2013.03.063
http://localhost/t...ganizacniJednotka	21230

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 117 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software