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Geometrical models for time series analysis
dc.contributor | Pujol, Oriol |
dc.contributor.author | Pardo Fernández, Àlex |
dc.date.accessioned | 2015-10-29T13:16:30Z |
dc.date.available | 2015-10-29T13:16:30Z |
dc.date.issued | 2015-10-23 |
dc.identifier.uri | http://hdl.handle.net/2117/78499 |
dc.description.abstract | In this work, a new approach to one class classification is proposed using geometrical models. The proposal is based on the kernelization of a technique of Approximate Polytope Ensemble (APES). It is named Kernel Approximate Polytope Ensemble (KAPE). |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.subject | Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica |
dc.subject.lcsh | Time-series analysis |
dc.subject.other | Mètodes geomètrics |
dc.subject.other | sèries temporals |
dc.subject.other | Kernel |
dc.subject.other | Ensemble |
dc.subject.other | One-class |
dc.subject.other | Multi-class |
dc.subject.other | Geometrical methods |
dc.subject.other | Time series |
dc.title | Geometrical models for time series analysis |
dc.type | Master thesis |
dc.subject.lemac | Sèries temporals -- Anàlisi |
dc.identifier.slug | 108858 |
dc.rights.access | Open Access |
dc.date.updated | 2015-10-26T05:00:16Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Facultat d'Informàtica de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2012) |