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» Inference in Bayesian Networks
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BMCBI
2010
142views more  BMCBI 2010»
15 years 4 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
INFOCOM
2012
IEEE
13 years 7 months ago
Sherlock is around: Detecting network failures with local evidence fusion
—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...
Qiang Ma, Kebin Liu, Xin Miao, Yunhao Liu
IMC
2004
ACM
15 years 10 months ago
A pragmatic approach to dealing with high-variability in network measurements
The Internet is teeming with high variability phenomena, from measured IP flow sizes to aspects of inferred router-level connectivity, but there still exists considerable debate ...
Walter Willinger, David Alderson, Lun Li
BIOINFORMATICS
2007
117views more  BIOINFORMATICS 2007»
15 years 4 months ago
Mining biological networks for unknown pathways
Biological pathways provide significant insights on the interaction mechanisms of molecules. Presently, many essential pathways still remain unknown or incomplete for newly sequen...
Ali Cakmak, Gultekin Özsoyoglu
164
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KDD
2010
ACM
224views Data Mining» more  KDD 2010»
15 years 8 months ago
Multi-label learning by exploiting label dependency
In multi-label learning, each training example is associated with a set of labels and the task is to predict the proper label set for the unseen example. Due to the tremendous (ex...
Min-Ling Zhang, Kun Zhang