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145
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PKDD
2009
Springer
170views Data Mining» more  PKDD 2009»
15 years 10 months ago
Statistical Relational Learning with Formal Ontologies
Abstract. We propose a learning approach for integrating formal knowledge into statistical inference by exploiting ontologies as a semantically rich and fully formal representation...
Achim Rettinger, Matthias Nickles, Volker Tresp
137
Voted
EUROMICRO
1996
IEEE
15 years 7 months ago
A Graph Rewriting Approach for Transformational Design of Digital Systems
Transformational design integrates design and verification. It combines "correctness by construciion" and design creativity by the use ofpre-proven behaviour preserving ...
Corrie Huijs
147
Voted
ECCV
2004
Springer
16 years 5 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
143
Voted
ALT
2004
Springer
16 years 18 days ago
Probabilistic Inductive Logic Programming
Probabilistic inductive logic programming, sometimes also called statistical relational learning, addresses one of the central questions of artificial intelligence: the integratio...
Luc De Raedt, Kristian Kersting
137
Voted
ICDM
2003
IEEE
136views Data Mining» more  ICDM 2003»
15 years 9 months ago
Statistical Relational Learning for Document Mining
A major obstacle to fully integrated deployment of many data mining algorithms is the assumption that data sits in a single table, even though most real-world databases have compl...
Alexandrin Popescul, Lyle H. Ungar, Steve Lawrence...