Mostrando 6 resultados de: 6
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Conference Object(6)
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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
2017 43rd Latin American Computer Conference, CLEI 2017(1)
Communications in Computer and Information Science(1)
Proceedings - 2018 44th Latin American Computing Conference, CLEI 2018(1)
Proceedings of the 33rd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2020(1)
Área temáticas
Funcionamiento de bibliotecas y archivos(4)
Programación informática, programas, datos, seguridad(2)
Biblioteconomía y Documentación informatica(1)
Ciencias políticas (Política y gobierno)(1)
Lingüística(1)
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Aprendizaje automático(2)
Ciencias de la computación(2)
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Inteligencia artificial(1)
Origen
scopus(6)
Clustering Count Data with Stochastic Expectation Propagation
Conference ObjectAbstract: Clustering count vectors is a challenging task given their sparsity and high-dimensionality. An effiPalabras claves:Emsd distribution, Mixture model, Stochastic expectation propagationAutores:Bouguila N., Xavier Sumba, Zamzami N.Fuentes:googlescopusAuthor-Topic Classification Based on Semantic Knowledge
Conference ObjectAbstract: We propose a novel unsupervised two-phased classification model leveraging from semantic web technolPalabras claves:Author-topic classification, Data integration, Data Mining, Knowledge base, Linked data, Query languages, semantic webAutores:José Ortiz, José Segarra, Mauricio Espinoza-Mejía, Ronald Gualán Saavedra, Víctor Saquicela, Xavier SumbaFuentes:googlescopusAuthors semantic disambiguation on heterogeneous bibliographic sources
Conference ObjectAbstract: Data ambiguity from various sources remains as a complex problem that affects services provided by dPalabras claves:Author Name Disambiguation, Digital libraries, Digital repositories, Linked dataAutores:José Cullcay, JOSE LUIS SEGARRA FLORES, José Ortiz, José Segarra, Mauricio Espinoza-Mejía, Víctor Saquicela, Xavier SumbaFuentes:googlescopusImproving Classification Using Topic Correlation and Expectation Propagation
Conference ObjectAbstract: Probabilistic topic models are broadly used to infer meaningful patterns of words over a mixture ofPalabras claves:Expectation propagation, Topic classification, TOPIC MODELLINGAutores:Bouguila N., Xavier SumbaFuentes:googlescopusImproving the EDCM mixture model with expectation propagation
Conference ObjectAbstract: Bayesian inference is crucial to challenging scenarios that involve complex probabilistic models, whPalabras claves:Autores:Bouguila N., Xavier Sumba, Zamzami N.Fuentes:googlescopusSemantically identifying regional-indexed publications, a web-exploring approach
Conference ObjectAbstract: The indexing services are an important element of researching process because they make publicly avaPalabras claves:Indexing Services, Latindex, Linked data, Web CorrelationAutores:José Ortiz, José Segarra, Víctor Saquicela, Xavier SumbaFuentes:googlescopus