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» Information Evolution in Social Networks
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WWW
2011
ACM
14 years 7 months ago
Counting triangles and the curse of the last reducer
The clustering coefficient of a node in a social network is a fundamental measure that quantifies how tightly-knit the community is around the node. Its computation can be reduce...
Siddharth Suri, Sergei Vassilvitskii
141
Voted
SDM
2012
SIAM
252views Data Mining» more  SDM 2012»
13 years 2 months ago
Learning from Heterogeneous Sources via Gradient Boosting Consensus
Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
Xiaoxiao Shi, Jean-François Paiement, David...
ECBS
1996
IEEE
127views Hardware» more  ECBS 1996»
15 years 4 months ago
Domain Engineering: The Challenge, Status, and Trends
Naval Surface Warfare Center Dahlgren Division; under joint sponsorship of the Office of Naval Research; the Naval Command, Control, and Ocean Surveillance Center; and the Naval S...
Stephanie White, Michael Edwards
BMCBI
2007
97views more  BMCBI 2007»
15 years 10 days ago
In situ analysis of cross-hybridisation on microarrays and the inference of expression correlation
Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
Tineke Casneuf, Yves Van de Peer, Wolfgang Huber
116
Voted
BMCBI
2006
143views more  BMCBI 2006»
15 years 8 days ago
IsoSVM - Distinguishing isoforms and paralogs on the protein level
Background: Recent progress in cDNA and EST sequencing is yielding a deluge of sequence data. Like database search results and proteome databases, this data gives rise to inferred...
Michael Spitzer, Stefan Lorkowski, Paul Cullen, Al...