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178
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INFOCOM
2011
IEEE
14 years 7 months ago
Adaptive algorithms for detecting community structure in dynamic social networks
—Social networks exhibit a very special property: community structure. Understanding the network community structure is of great advantages. It not only provides helpful informat...
Nam P. Nguyen, Thang N. Dinh, Ying Xuan, My T. Tha...
165
Voted
SIAMSC
2011
85views more  SIAMSC 2011»
14 years 6 months ago
Refinement and Connectivity Algorithms for Adaptive Discontinuous Galerkin Methods
Abstract. Adaptive multiscale methods are among the many effective techniques for the numerical solution of partial differential equations. Efficient grid management is an import...
Kolja Brix, Ralf Massjung, Alexander Voss
263
Voted
DAGM
2011
Springer
14 years 3 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
145
Voted
KDD
2009
ACM
269views Data Mining» more  KDD 2009»
16 years 4 months ago
Extracting discriminative concepts for domain adaptation in text mining
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
Bo Chen, Wai Lam, Ivor Tsang, Tak-Lam Wong
116
Voted
SIGMOD
2001
ACM
160views Database» more  SIGMOD 2001»
16 years 3 months ago
Adaptive Precision Setting for Cached Approximate Values
Caching approximate values instead of exact values presents an opportunity for performance gains in exchange for decreased precision. To maximize the performance improvement, cach...
Chris Olston, Boon Thau Loo, Jennifer Widom