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ICML
2009
IEEE
15 years 11 months ago
Learning Markov logic network structure via hypergraph lifting
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. Learning ML...
Stanley Kok, Pedro Domingos
AAAI
2011
13 years 10 months ago
Markov Logic Sets: Towards Lifted Information Retrieval Using PageRank and Label Propagation
Inspired by “GoogleTM Sets” and Bayesian sets, we consider the problem of retrieving complex objects and relations among them, i.e., ground atoms from a logical concept, given...
Marion Neumann, Babak Ahmadi, Kristian Kersting
JELIA
2000
Springer
15 years 1 months ago
Considerations on Updates of Logic Programs
Abstract. Among others, Alferes et al. (1998) presented an approach for updating logic programs with sets of rules based on dynamic logic programs. We syntactically redefine dynami...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
JCT
2007
107views more  JCT 2007»
14 years 10 months ago
Vertex-minors, monadic second-order logic, and a conjecture by Seese
We prove that one can express the vertex-minor relation on finite undirected graphs by formulas of monadic second-order logic (with no edge set quantification) extended with a p...
Bruno Courcelle, Sang-il Oum
CAISE
2003
Springer
15 years 3 months ago
On the Applicability of Rules to Automate Data Warehouse Logical Design
Data Warehouse logical design involves the definition of structures that enable an efficient access to information. The designer builds relational or multidimensional structures ta...
Verónika Peralta, Alvaro Illarze, Raul Rugg...