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WWW
2008
ACM
15 years 10 months ago
Learning to rank relational objects and its application to web search
Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
89
Voted
ANOR
2007
151views more  ANOR 2007»
14 years 9 months ago
Distributed personnel scheduling - negotiation among scheduling agents
This paper introduces a model for Distributed Employee Timetabling Problems (DisETPs) and proposes a general architecture for solving DisETPs by using a Multi Agent System (MAS) pa...
Eliezer Kaplansky, Amnon Meisels
BMCBI
2010
162views more  BMCBI 2010»
14 years 9 months ago
Moara: a Java library for extracting and normalizing gene and protein mentions
Background: Gene/protein recognition and normalization are important preliminary steps for many biological text mining tasks, such as information retrieval, protein-protein intera...
Mariana L. Neves, José María Carazo,...
89
Voted
DLOG
2011
14 years 29 days ago
Extracting Finite Sets of Entailments from OWL Ontologies
The canonical standard description logic reasoning service is classification, that is, the generation of the set of atomic subsumptions which are entailed by some ontology. While ...
Samantha Bail, Bijan Parsia, Ulrike Sattler
89
Voted
MVA
1998
154views Computer Vision» more  MVA 1998»
14 years 10 months ago
Clustering of Learning Images and Generation of Multiple Prototypes for Object Recognition
common features in all learning objects only. The In this paper, we propose two methods of clustering learning images to generate prototypes automatically for object recognition. O...
Jin Jia, Keiichi Abe