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ICML
2001
IEEE
14 years 8 months ago
Learning Probabilistic Models of Relational Structure
Most real-world data is stored in relational form. In contrast, most statistical learning methods work with "flat" data representations, forcing us to convert our data i...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
KDD
2002
ACM
136views Data Mining» more  KDD 2002»
14 years 7 months ago
Relational Markov models and their application to adaptive web navigation
Relational Markov models (RMMs) are a generalization of Markov models where states can be of different types, with each type described by a different set of variables. The domain ...
Corin R. Anderson, Pedro Domingos, Daniel S. Weld
EDBT
2008
ACM
178views Database» more  EDBT 2008»
14 years 7 months ago
An inductive database and query language in the relational model
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
Lothar Richter, Jörg Wicker, Kristina Kessler...
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 5 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting
DEXA
2009
Springer
151views Database» more  DEXA 2009»
14 years 2 months ago
Automatic Extraction of Ontologies Wrapping Relational Data Sources
Describing relational data sources (i.e. databases) by means of ontologies constitutes the foundation of most of the semantic based approaches to data access and integration. In sp...
Lina Lubyte, Sergio Tessaris