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PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 12 days ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
PERCOM
2009
ACM
16 years 12 days ago
Mobile Ad Hoc Networks: the DHT paradigm
In this paper, a DHT-based routing protocol which integrates at the network layer both traditional direct routing, i.e. MANET routing, and indirect key-based routing, i.e. P2P rout...
Marcello Caleffi
KDD
2008
ACM
178views Data Mining» more  KDD 2008»
16 years 8 days ago
Training structural svms with kernels using sampled cuts
Discriminative training for structured outputs has found increasing applications in areas such as natural language processing, bioinformatics, information retrieval, and computer ...
Chun-Nam John Yu, Thorsten Joachims
103
Voted
KDD
2008
ACM
174views Data Mining» more  KDD 2008»
16 years 8 days ago
Automatic identification of quasi-experimental designs for discovering causal knowledge
Researchers in the social and behavioral sciences routinely rely on quasi-experimental designs to discover knowledge from large databases. Quasi-experimental designs (QEDs) exploi...
David D. Jensen, Andrew S. Fast, Brian J. Taylor, ...
KDD
2004
ACM
131views Data Mining» more  KDD 2004»
16 years 8 days ago
Fast nonlinear regression via eigenimages applied to galactic morphology
Astronomy increasingly faces the issue of massive datasets. For instance, the Sloan Digital Sky Survey (SDSS) has so far generated tens of millions of images of distant galaxies, ...
Brigham Anderson, Andrew W. Moore, Andrew Connolly...