Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7911
DC FieldValueLanguage
dc.contributor.authorallSandri, L.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.authorallMarzocchi, W.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.date.accessioned2012-03-23T08:41:53Zen
dc.date.available2012-03-23T08:41:53Zen
dc.date.issued2004-03en
dc.identifier.urihttp://hdl.handle.net/2122/7911en
dc.description.abstractThe success obtained by Statistical Pattern Recognition in many disciplines is certainly related to the quality and availability of many data, normally distributed. However, in other disciplines, the data sets consist of few measurements, often binned, correlated, and not normally distributed. Usually, we do not even know which features have an influence on the process. The main goal of this paper is to evaluate the performance of some nonparametric Pattern Recognition algorithms when applied to such data. Finally we show the results of the application of the four nonparametric statistical pattern recognition techniques to real volcanological data.en
dc.language.isoEnglishen
dc.publisher.nameElsevieren
dc.relation.ispartofPattern Recognitionen
dc.relation.ispartofseries3/37 (2004)en
dc.subjectnonparametric pattern recognitionen
dc.subjectsynthetic dataen
dc.subjectoptimal subset of featuresen
dc.subjectvolcanological dataen
dc.titleTesting the performance of some nonparametric pattern recognition algorithms in realistic casesen
dc.typearticleen
dc.description.statusPublisheden
dc.type.QualityControlPeer-revieweden
dc.description.pagenumber447-461en
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networksen
dc.identifier.doi10.1016/j.patcog.2003.08.009en
dc.description.journalTypeJCR Journalen
dc.description.fulltextrestricteden
dc.relation.issn0031-3203en
dc.relation.eissn1873-5142en
dc.contributor.authorSandri, L.en
dc.contributor.authorMarzocchi, W.en
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italiaen
item.openairetypearticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.grantfulltextrestricted-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.orcid0000-0002-3254-2336-
crisitem.author.orcid0000-0002-9114-1516-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent05. General-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.department.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
Appears in Collections:Article published / in press
Files in This Item:
File Description SizeFormat Existing users please Login
Sandri_Marzocchi_2004.pdf770.75 kBAdobe PDF
Show simple item record

WEB OF SCIENCETM
Citations 10

6
checked on Feb 10, 2021

Page view(s) 20

270
checked on Apr 17, 2024

Download(s)

50
checked on Apr 17, 2024

Google ScholarTM

Check

Altmetric