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Sum-Product Networks

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dc.contributor.authorParís Fernández, Iago
dc.contributor.directorDíez Vegas, Francisco Javier
dc.contributor.directorSánchez Cauce, Raquel
dc.date.accessioned2024-05-20T12:36:29Z
dc.date.available2024-05-20T12:36:29Z
dc.date.issued2019-09-24
dc.description.abstractSum-Product Networks (SPNs) are a new model that join elements from deep learning and probabilistic graphical models. They model a dataset through a hierarchical combination of mixtures and factorizations of probability distributions. Since their appearance, SPNs have obtained state of the art results in several machine learning areas. The literature about SPNs contains several obsolete papers and has neither a survey nor an introductory work addressed to the new reader. The main contribution of this work, the rst survey about SPNs, aims to ll this long-standing gap. For this work, we have thoroughly reviewed most of the existing literature. The survey presents the basic knowledge required to comprehend SPNs and then reviews how they learn their structure and parameters from data, how they perform inference, where and how they have been applied, and how they compare with other models. As an experimental contribution, the recent model of convolutional SPNs has been applied to di erent image classi cation problems and compared with convolutional neural networks.en
dc.description.versionversión final
dc.identifier.urihttps://hdl.handle.net/20.500.14468/14601
dc.language.isoes
dc.publisherUniversidad Nacional de Educación a Distancia (España). Escuela Técnica Superior de Ingeniería Informática. Departamento de Inteligencia Artificial
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.degreeMáster Universitario en I.A. Avanzada: Fundamentos, Métodos y Aplicaciones
dc.relation.departmentInteligencia Artificial
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.titleSum-Product Networkses
dc.typetesis de maestríaes
dc.typemaster thesisen
dspace.entity.typePublication
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