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136
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ICMLA
2010
15 years 28 days ago
Incremental Learning of Relational Action Rules
Abstract--In the Relational Reinforcement learning framework, we propose an algorithm that learns an action model allowing to predict the resulting state of each action in any give...
Christophe Rodrigues, Pierre Gérard, C&eacu...
132
Voted
FOSSACS
1998
Springer
15 years 7 months ago
Functor Categories and Two-Level Languages
Abstract. We propose a denotational semantics for the two-level language of [GJ91, Gom92], and prove its correctness w.r.t. a standard denotational semantics. Other researchers (se...
Eugenio Moggi
136
Voted
SAC
2006
ACM
15 years 9 months ago
Ontology-based integration for relational databases
In this paper, we show that representation and reasoning techniques used in traditional knowledge engineering and the emerging Semantic Web can play an important role for heteroge...
Dejing Dou, Paea LePendu
145
Voted
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
110
Voted
INAP
2005
Springer
15 years 9 months ago
Using a Logic Programming Language with Persistence and Contexts
Abstract. This article merges two approaches: one dealing with persistence for logic programs, as provided by a relational database back-end and another which addresses the issues ...
Salvador Abreu, Vítor Nogueira