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» Topic-Specific Optimization and Structuring
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PODC
2009
ACM
16 years 2 months ago
Coloring unstructured wireless multi-hop networks
We present a randomized coloring algorithm for the unstructured radio network model, a model comprising autonomous nodes, asynchronous wake-up, no collision detection and an unkno...
Johannes Schneider, Roger Wattenhofer
KDD
2009
ACM
163views Data Mining» more  KDD 2009»
16 years 2 months ago
Large-scale graph mining using backbone refinement classes
We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
Andreas Maunz, Christoph Helma, Stefan Kramer
110
Voted
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
16 years 1 months ago
Extracting shared subspace for multi-label classification
Multi-label problems arise in various domains such as multitopic document categorization and protein function prediction. One natural way to deal with such problems is to construc...
Shuiwang Ji, Lei Tang, Shipeng Yu, Jieping Ye
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 1 months ago
Effective label acquisition for collective classification
Information diffusion, viral marketing, and collective classification all attempt to model and exploit the relationships in a network to make inferences about the labels of nodes....
Mustafa Bilgic, Lise Getoor
KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 1 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, ...