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» Representing and Reasoning with Preferences
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13 years 8 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
SEMWEB
2007
Springer
15 years 4 months ago
SMART: A Web-Based, Ontology-Driven, Semantic Web Query Answering Application
SMART (Semantic web information Management with automated Reasoning Tool) is an open-source project, which aims to provide intuitive tools for life scientists for represent, integr...
Alexander De Leon Battista, Natalia Villanueva-Ros...
KI
2005
Springer
15 years 3 months ago
Temporalizing Spatial Calculi: On Generalized Neighborhood Graphs
To reason about geographical objects, it is not only necessary to have more or less complete information about where these objects are located in space, but also how they can chang...
Marco Ragni, Stefan Wölfl
SAC
2004
ACM
15 years 3 months ago
Seamless integration of rule-based knowledge and object-oriented functionality with linguistic symbiosis
Software applications often contain implicit knowledge in addition to functionality which is inherently object-oriented. Many approaches and systems exist that focus on separating...
Maja D'Hondt, Kris Gybels, Viviane Jonckers
DLOG
2007
15 years 11 days ago
Integrated Distributed Description Logics
In the context of the Semantic Web or semantic peer to peer systems, many ontologies may exist and be developed independently. Ontology alignments help integrating, mediating or re...
Antoine Zimmermann