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, Italia-
dc.contributor.authorallMarzocchi, W.; Istituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia-
dc.date.accessioned2012-03-23T08:41:53Z-
dc.date.available2012-03-23T08:41:53Z-
dc.date.issued2004-03-
dc.identifier.urihttp://hdl.handle.net/2122/7911-
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_US
dc.language.isoengen_US
dc.publisher.nameElsevieren_US
dc.relation.ispartofPattern Recognitionen_US
dc.relation.ispartofseries3/37 (2004)en_US
dc.subjectnonparametric pattern recognitionen_US
dc.subjectsynthetic dataen_US
dc.subjectoptimal subset of featuresen_US
dc.subjectvolcanological dataen_US
dc.titleTesting the performance of some nonparametric pattern recognition algorithms in realistic casesen_US
dc.typearticle-
dc.description.statusPublisheden_US
dc.type.QualityControlPeer-revieweden_US
dc.description.pagenumber447-461en_US
dc.subject.INGV05. General::05.01. Computational geophysics::05.01.02. Cellular automata, fuzzy logic, genetic alghoritms, neural networksen_US
dc.identifier.doi10.1016/j.patcog.2003.08.009en_US
dc.description.journalTypeJCR Journalen_US
dc.description.fulltextrestricteden
dc.relation.issn0031-3203en_US
dc.relation.eissn1873-5142en_US
dc.contributor.authorSandri, L.-
dc.contributor.authorMarzocchi, W.-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia-
dc.contributor.departmentIstituto Nazionale di Geofisica e Vulcanologia, Sezione OV, Napoli, Italia-
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Bologna, Bologna, Italia-
crisitem.author.deptIstituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Roma1, Roma, Italia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.author.parentorgIstituto Nazionale di Geofisica e Vulcanologia-
crisitem.classification.parent05. General-
Appears in Collections:Papers Published / Papers in press
Files in This Item:
File Description SizeFormat 
Sandri_Marzocchi_2004.pdf770.75 kBAdobe PDFView/Open
Show simple item record

Page view(s) 20

218
Last Week
0
Last month
0
checked on May 27, 2019

Download(s)

50
checked on May 27, 2019

Google ScholarTM

Check

Altmetric