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» A Description Logic System for Learning in Complex Domains
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COLT
1994
Springer
14 years 1 days ago
Bayesian Inductive Logic Programming
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learnin...
Stephen Muggleton
AAAI
2011
12 years 8 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
DEXAW
2009
IEEE
171views Database» more  DEXAW 2009»
14 years 2 months ago
Ontology Knowledge Authoring by Natural Language Empowerment
One of the main limitations in using ontologies in modern information systems is due to the fact that the design and maintenance of ontologies is a complex activity that requires ...
Alfio Ferrara, Stefano Montanelli, Gaia Varese, Si...
ADVIS
2006
Springer
14 years 1 months ago
Contextual Ontologies
Abstract. Contextual ontologies are ontologies that characterize a concept by a set of properties that vary according to context. Contextual ontologies are now crucial for users wh...
Djamal Benslimane, Ahmed Arara, Gilles Falquet, Za...
ICCSA
2011
Springer
12 years 11 months ago
Standardization of Game Based Learning Design
The standardization of the design of learning games is a contradictory topic: The existence of a rich variety of domains and applications is in conflict with the desire for unifica...
Sebastian Kelle, Roland Klemke, Marion R. Gruber, ...