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119
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DMS
2010
155views Multimedia» more  DMS 2010»
15 years 2 months ago
Ontological Filters for Slow Intelligence Systems
: Slow Intelligence Systems are general-purpose systems characterized by being able to improve performance over time through a process involving enumeration, propagation, adaptatio...
Shi-Kuo Chang, Emilio Zegarra, Chia Chun Shih, Tin...
124
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AAAI
2008
15 years 6 months ago
Concept-Based Feature Generation and Selection for Information Retrieval
Traditional information retrieval systems use query words to identify relevant documents. In difficult retrieval tasks, however, one needs access to a wealth of background knowled...
Ofer Egozi, Evgeniy Gabrilovich, Shaul Markovitch
IUI
2009
ACM
16 years 20 days ago
Learning to recognize valuable tags
Many websites use tags as a mechanism for improving item metadata through collective user effort. Users of tagging systems often apply far more tags to an item than a system can ...
Shilad Sen, Jesse Vig, John Riedl
142
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GECCO
2006
Springer
205views Optimization» more  GECCO 2006»
15 years 7 months ago
Bounding XCS's parameters for unbalanced datasets
This paper analyzes the behavior of the XCS classifier system on imbalanced datasets. We show that XCS with standard parameter settings is quite robust to considerable class imbal...
Albert Orriols-Puig, Ester Bernadó-Mansilla
143
Voted
ATAL
2006
Springer
15 years 7 months ago
Magenta technology multi-agent logistics i-Scheduler for road transportation
The paper describes main features of an Intelligent Scheduler for Road Transportation Applications based on Magenta agent technology and characterized by a number of unique, advan...
Jonathan Himoff, George Rzevski, Petr Skobelev