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» High-dimensional labeled data analysis with Gabriel graphs
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PODS
2010
ACM
213views Database» more  PODS 2010»
14 years 17 days ago
Expressive languages for path queries over graph-structured data
For many problems arising in the setting of graph querying (such as finding semantic associations in RDF graphs, exact and approximate pattern matching, sequence alignment, etc.)...
Pablo Barceló, Carlos A. Hurtado, Leonid Li...
APVIS
2007
13 years 9 months ago
A comparison of vertex ordering algorithms for large graph visualization
In this study, we examine the use of graph ordering algorithms for visual analysis of data sets using visual similarity matrices. Visual similarity matrices display the relationsh...
Christopher Mueller, Benjamin Martin, Andrew Lumsd...
ACL
2009
13 years 5 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
CGF
2008
165views more  CGF 2008»
13 years 7 months ago
Visual Inspection of Multivariate Graphs
Most graph visualization techniques focus on the structure of graphs and do not offer support for dealing with node attributes and edge labels. To enable users to detect relations...
A. Johannes Pretorius, Jarke J. van Wijk
CIKM
2010
Springer
13 years 4 months ago
Regularization and feature selection for networked features
In the standard formalization of supervised learning problems, a datum is represented as a vector of features without prior knowledge about relationships among features. However, ...
Hongliang Fei, Brian Quanz, Jun Huan