View Learning for Statistical Relational Learning: With an Application to Mammography

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2005

Autores

Davis, J (Autor) Outra; Burnside, E (Autor) Outra; Dutra, I (Autor) Outra; Page, D (Autor) Outra; Ramakrishnan, R (Autor) Outra; Costa, VS (Autor) FCUP; Shavlik, J (Autor) Outra

Ata de Conferência Internacional

Título: IJCAI International Joint Conference on Artificial Intelligence

Páginas: 677-683

19th International Joint Conference on Artificial Intelligence, IJCAI 2005

Edinburgh, 30 July 2005 through 5 August 2005

Indexação

ISI Web of Knowledge - 29 Citações

Scopus - 48 Citações

Outras Informações

ID Authenticus: P-008-C7R

Abstract (EN): Statistical relational learning (SRL) constructs probabilistic models from relational databases. A key capability of SRL is the learning of arcs (in the Bayes net sense) connecting entries in different rows of a relational table, or in different tables. Nevertheless, SRL approaches currently are constrained to use the existing database schema. For many database applications, users find it profitable to define alternative "views" of the database, in effect defining new fields or tables. Such new fields or tables can also be highly useful in learning. We provide SRL with the capability of learning new views.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 7