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» The Hardness of Metric Labeling
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BMCBI
2006
104views more  BMCBI 2006»
13 years 8 months ago
Semi-supervised discovery of differential genes
Background: Various statistical scores have been proposed for evaluating the significance of genes that may exhibit differential expression between two or more controlled conditio...
Shigeyuki Oba, Shin Ishii
KDD
2010
ACM
197views Data Mining» more  KDD 2010»
13 years 5 months ago
Semi-supervised feature selection for graph classification
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
Xiangnan Kong, Philip S. Yu
TIP
2010
182views more  TIP 2010»
13 years 2 months ago
Flexible Manifold Embedding: A Framework for Semi-Supervised and Unsupervised Dimension Reduction
We propose a unified manifold learning framework for semi-supervised and unsupervised dimension reduction by employing a simple but effective linear regression function to map the ...
Feiping Nie, Dong Xu, Ivor Wai-Hung Tsang, Changsh...
IMC
2010
ACM
13 years 5 months ago
Revisiting the case for a minimalist approach for network flow monitoring
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
Vyas Sekar, Michael K. Reiter, Hui Zhang
P2P
2008
IEEE
184views Communications» more  P2P 2008»
14 years 2 months ago
Ad Hoc Limited Scale-Free Models for Unstructured Peer-to-Peer Networks
Several protocol efficiency metrics (e.g., scalability, search success rate, routing reachability and stability) depend on the capability of preserving structure even over the ch...
Hasan Guclu, Durgesh Kumari, Murat Yuksel