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» A Description Logic System for Learning in Complex Domains
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COGSR
2011
105views more  COGSR 2011»
13 years 2 months ago
Inductive rule learning on the knowledge level
We present an application of the analytical inductive programming system Igor to learning sets of recursive rules from positive experience. We propose that this approach can be us...
Ute Schmid, Emanuel Kitzelmann
IEAAIE
1998
Springer
14 years 4 days ago
Generating Heuristics to Control Configuration Processes
Abstract. Configuration is the process of composing a system from a set of components such that the system fulfills a set of desired demands. The configuration process relies on a ...
Benno Stein
KR
2010
Springer
13 years 12 months ago
Improving Query Answering over DL-Lite Ontologies
The DL-Lite family of Description Logics has been designed with the specific goal of allowing for answering complex queries (in particular, conjunctive queries) over ontologies w...
Riccardo Rosati, Alessandro Almatelli
ICML
2004
IEEE
14 years 8 months ago
Relational sequential inference with reliable observations
We present a trainable sequential-inference technique for processes with large state and observation spaces and relational structure. Our method assumes "reliable observation...
Alan Fern, Robert Givan
MIDDLEWARE
2004
Springer
14 years 1 months ago
On the benefits of decomposing policy engines into components
In order for middleware systems to be adaptive, their properties and services need to support a wide variety of application-specific policies. However, application developers and ...
Konstantin Beznosov