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A STOCHASTIC EMBEDDING APPROACH FOR LINEAR SYSTEM UNCERTAINTY MODELING UTILIZING FINITE MIXTURE DISTRIBUTIONS

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dc.contributor.advisorAGÜERO, JUAN C.
dc.contributor.authorORELLANA, RAFAEL
dc.contributor.departmentUniversidad Técnica Federico Santa María. Departamento de Electrónicaes_CL
dc.coverage.spatialCasa Central Valparaísoes_CL
dc.date.accessioned2022-01-28T14:57:09Z
dc.date.available2022-01-28T14:57:09Z
dc.date.issued2021
dc.description.abstract.es_CL
dc.description.degreeDOCTOR EN INGENIERIA ELECTRONICAes_CL
dc.description.programDEPARTAMENTO DE ELECTRÓNICA. DOCTORADO EN INGENIERÍA ELECTRÓNICA (PHD)es_CL
dc.format.extent128 Hes_CL
dc.identifier.barcode257142612UTFSMes_CL
dc.identifier.urihttps://hdl.handle.net/11673/52768
dc.subjectMAXIMUM LIKELIHOODes_CL
dc.subjectSTOCHASTIC EMBEDDINGes_CL
dc.subjectGAUSSIAN MIXTURE MODELSes_CL
dc.titleA STOCHASTIC EMBEDDING APPROACH FOR LINEAR SYSTEM UNCERTAINTY MODELING UTILIZING FINITE MIXTURE DISTRIBUTIONSes_CL
dc.typeTesis de Postgrado
dspace.entity.typePublication
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