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Constrained domain maximum likelihood estimation and the loss function in statistical pattern recognition

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Constrained domain maximum likelihood estimation and the loss function in statistical pattern recognition

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dc.contributor.advisor Juan Císcar, Alfonso es_ES
dc.contributor.author Andrés Ferrer, Jesús es_ES
dc.date.accessioned 2011-11-28T13:31:06Z
dc.date.available 2011-11-28T13:31:06Z
dc.date.created 2008-11
dc.date.issued 2011-11-28
dc.identifier.uri http://hdl.handle.net/10251/13638
dc.description.abstract In this thesis we present a new estimation algorithm for statistical models which does not incurs in the over-trainning problems. This new estimation techinque, the so-called, constrained domain maximum likelihood estimation (CDMLE) holds all the theoretical properties of the maximum likelihood estimation and furthermore it does not provides overtrained parameter sets. On the other hand, the impliations of the the 0-1 loss function assumption are analysed in the pattern recognition tasks. Specifically, more versatile functions are designed without increasing the optimal classification rule costs. This approach is applied to the statistical machine translation problem. es_ES
dc.format.extent 86 es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Maximum likelihood es_ES
dc.subject Maximum constrained likelihood es_ES
dc.subject Loss function es_ES
dc.subject Karush kunh tucker conditions es_ES
dc.subject Minimun risk es_ES
dc.subject Statistical machine translation es_ES
dc.subject Naive bayes es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.other Máster Universitario en Inteligencia Artificial, Reconocimiento de Formas e Imagen Digital-Màster Universitari en Intel·Ligència Artificial: Reconeixement de Formes i Imatge Digital es_ES
dc.title Constrained domain maximum likelihood estimation and the loss function in statistical pattern recognition es_ES
dc.type Tesis de máster es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Servicio de Alumnado - Servei d'Alumnat es_ES
dc.description.bibliographicCitation Andrés Ferrer, J. (2008). Constrained domain maximum likelihood estimation and the loss function in statistical pattern recognition. http://hdl.handle.net/10251/13638 es_ES
dc.description.accrualMethod Archivo delegado es_ES


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