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» Preferences, Contexts and Answer Sets
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ICML
2008
IEEE
15 years 10 months ago
Multiple instance ranking
This paper introduces a novel machine learning model called multiple instance ranking (MIRank) that enables ranking to be performed in a multiple instance learning setting. The mo...
Charles Bergeron, Jed Zaretzki, Curt M. Breneman, ...
ICML
2004
IEEE
15 years 10 months ago
Unifying collaborative and content-based filtering
Collaborative and content-based filtering are two paradigms that have been applied in the context of recommender systems and user preference prediction. This paper proposes a nove...
Justin Basilico, Thomas Hofmann
SIGIR
2006
ACM
15 years 3 months ago
Automated performance assessment in interactive QA
In interactive question answering (QA), users and systems take turns to ask questions and provide answers. In such an interactive setting, user questions largely depend on the ans...
Joyce Y. Chai, Tyler Baldwin, Chen Zhang
ATAL
2009
Springer
15 years 4 months ago
Resource allocation with answer-set programming
Multi-agent resource allocation is a growing area of research at the frontier between Economics and Computer Science. Despite the extensive theoretical work and raising number of ...
João Leite, José Júlio Alfere...
ECOOPW
1999
Springer
15 years 2 months ago
UML Semantics FAQ
This paper reports the results of a workshop held at ECOOP’99. The workshop was set up to find answers to questions fundamental to the definition of a semantics for the Unifie...
Stuart Kent, Andy Evans, Bernhard Rumpe