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ICML
1999
IEEE
14 years 1 days ago
Learning Hierarchical Performance Knowledge by Observation
Developing automated agents that intelligently perform complex real world tasks is time consuming and expensive. The most expensive part of developing these intelligent task perfo...
Michael van Lent, John E. Laird
SEMWEB
2007
Springer
14 years 1 months ago
Extreme Tagging: Emergent Semantics through the Tagging of Tags
While the Semantic Web requires a large amount of structured knowledge (triples) to allow machine reasoning, the acquisition of this knowledge still represents an open issue. Indee...
Vlad Tanasescu, Olga Streibel
CP
2003
Springer
14 years 29 days ago
Semi-automatic Modeling by Constraint Acquisition
Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
Remi Coletta, Christian Bessière, Barry O'S...
AUSAI
2008
Springer
13 years 9 months ago
Exploiting Ontological Structure for Complex Preference Assembly
When a user is looking for a product recommendation they usually lack expert knowledge regarding the items they are looking for. Ontologies on the other hand are crafted by experts...
Gil Chamiel, Maurice Pagnucco
IJCAI
2001
13 years 9 months ago
Integrating Expectations from Different Sources to Help End Users Acquire Procedural Knowledge
Role-limiting approaches using explicit theories of problem-solving have been successful for acquiring knowledge from domain experts1 . However most systems using this approach do...
Jim Blythe