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PKDD
2005
Springer
89views Data Mining» more  PKDD 2005»
15 years 11 months ago
Community Mining from Multi-relational Networks
Abstract. Social network analysis has attracted much attention in recent years. Community mining is one of the major directions in social network analysis. Most of the existing met...
Deng Cai, Zheng Shao, Xiaofei He, Xifeng Yan, Jiaw...
DIS
2004
Springer
15 years 10 months ago
Extracting Positive Attributions from Scientific Papers
The aim of our work is to provide support for reading (or skimming) scientific papers. In this paper we report on the task to identify concepts or terms with positive attributions ...
Son Bao Pham, Achim G. Hoffmann
TVCG
2008
107views more  TVCG 2008»
15 years 6 months ago
Promoting Insight-Based Evaluation of Visualizations: From Contest to Benchmark Repository
Information Visualization (InfoVis) is now an accepted and growing field but questions remain about the best uses for and the maturity of novel visualizations. Usability studies a...
Catherine Plaisant, Jean-Daniel Fekete, Georges G....
ICML
2009
IEEE
16 years 7 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
KDD
2008
ACM
172views Data Mining» more  KDD 2008»
16 years 6 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon