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» When Can Formal Methods Make a Real Difference
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209
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VLDB
2007
ACM
91views Database» more  VLDB 2007»
16 years 3 months ago
On Dominating Your Neighborhood Profitably
Recent research on skyline queries has attracted much interest in the database and data mining community. Given a database, an object belongs to the skyline if it cannot be domina...
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Es...
142
Voted
ICANN
2010
Springer
15 years 4 months ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
112
Voted
SEMWEB
2010
Springer
15 years 1 months ago
Exploiting Relation Extraction for Ontology Alignment
When multiple ontologies are used within one application system, aligning the ontologies is a prerequisite for interoperability and unhampered semantic navigation and search. Vario...
Elena Beisswanger
128
Voted
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 3 months ago
Spectral domain-transfer learning
Traditional spectral classification has been proved to be effective in dealing with both labeled and unlabeled data when these data are from the same domain. In many real world ap...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, ...
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
16 years 4 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...