Title: View Learning for Statistical Relational Learning: With an Application to Mammography
Authors: Davis, Jesse ×
Burnside, Elizabeth
Dutra, Ines
Page, David
Ramakrishnan, Raghu
Santos Costa, Vitor
Shavlik, Jude #
Issue Date: 2005
Publisher: Professional Book Center
Host Document: Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence pages:677-683
Conference: International Joint Conference on Artificial Intelligence edition:19th location:Edinburgh, Scotland date:July 30-August 5, 2005
Abstract: 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.
Publication status: published
KU Leuven publication type: IC
Appears in Collections:Non-KU Leuven Association publications
× corresponding author
# (joint) last author

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