Prototype selection based on sequential search

dc.creatorJOSE ARTURO OLVERA LOPEZ
dc.creatorJOSE FRANCISCO MARTINEZ TRINIDAD
dc.creatorJESUS ARIEL CARRASCO OCHOA
dc.date2009
dc.date.accessioned2023-07-25T16:23:09Z
dc.date.available2023-07-25T16:23:09Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1184
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7806380
dc.descriptionIn this paper, we propose and explore the use of the sequential search for solving the prototype selection problem since this kind of search has shown good performance for solving selection problems. We propose three prototype selection methods based on sequential search. The main goal of our methods is to reduce the training data without losing too much classification accuracy. Experiments and results are reported showing the effectiveness of the proposed methods and comparing their performance against other prototype selection methods.
dc.formatapplication/pdf
dc.languageeng
dc.publisherIOS Press
dc.relationcitation:Olvera-López, J.A., et al., (2009). Prototype selection based on sequential search, Intelligent Data Analysis (13): 599–631
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Prototype selection/Prototype selection
dc.subjectinfo:eu-repo/classification/Quality training set/Quality training set
dc.subjectinfo:eu-repo/classification/Supervised classification/Supervised classification
dc.subjectinfo:eu-repo/classification/Sequential search/Sequential search
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titlePrototype selection based on sequential search
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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